Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the recruitment and research stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you.
[Insert statement of urgency and significance for why this right relates to AI.]
Sectors #
The contributors of the AI & Human Rights Index have identified the following sectors as responsible for both using AI to protect and advance this human right.
- ENV: Environmental and EnergyThe Environmental and Energy sector encompasses organizations and entities involved in managing natural resources, producing energy, and promoting environmental sustainability. This includes environmental agencies, energy companies, renewable energy firms, sustainability organizations, urban planning departments, and waste management companies. The ENV sector plays a vital role in protecting the environment, ensuring sustainable use of resources, and transitioning to cleaner energy sources.
ENV-AGY: Environmental Agencies
Environmental Agencies are government bodies responsible for the protection and conservation of the environment. They develop and enforce regulations, monitor environmental quality, and oversee the management of natural resources. The environmental agency sector is accountable for ensuring that AI is used ethically to monitor and protect the environment while upholding human rights. This includes preventing AI from being used in ways that could harm ecosystems or infringe on communities' rights, particularly those of indigenous peoples and vulnerable populations. By integrating ethical considerations, they can use AI to enhance environmental protection without compromising human rights. Examples include using AI-powered systems to monitor pollution levels and enforce environmental regulations, ensuring compliance without unfairly targeting certain communities. Implementing AI tools to predict and prevent environmental disasters while engaging with affected communities to respect their rights and input.ENV-ENE: Energy Companies
Energy Companies are organizations involved in the production, distribution, and sale of energy, including electricity, oil, and gas. They play a crucial role in powering economies and everyday life. These companies are accountable for ensuring that AI technologies are used to optimize energy production and distribution ethically. They must prevent AI from contributing to environmental degradation or violating human rights, such as displacing communities without consent. By adopting ethical AI practices, they can improve efficiency and reduce environmental impact. Examples include implementing AI systems for predictive maintenance of equipment to prevent spills or leaks that could harm the environment. Using AI to optimize energy grids for better efficiency, reducing waste and lowering emissions.ENV-RNE: Renewable Energy Firms
Renewable Energy Firms specialize in producing energy from sustainable sources such as solar, wind, hydro, and geothermal power. They are at the forefront of efforts to reduce dependence on fossil fuels and combat climate change. These firms are accountable for using AI to advance renewable energy solutions ethically. They must ensure that AI applications do not infringe on land rights or lead to exploitation of resources in a way that harms local communities. Ethical AI use can help them maximize renewable energy production while respecting human rights. Examples include using AI to optimize the placement and operation of renewable energy installations without encroaching on protected areas or indigenous lands. Employing AI for forecasting energy production and demand to balance the grid efficiently.ENV-SUS: Environmental Sustainability Organizations
Environmental Sustainability Organizations are entities focused on promoting sustainable practices and policies. They work on conservation, climate change mitigation, and advocacy for environmental protection. They are accountable for leveraging AI to enhance sustainability efforts while ensuring that such technologies do not create new inequalities or overlook marginalized groups. By using AI ethically, they can amplify their impact and promote inclusive sustainability. Examples include using AI to analyze data on environmental impacts and advocate for policy changes that benefit both the environment and vulnerable populations. Developing AI-driven tools that help businesses and communities adopt sustainable practices.ENV-UPL: Urban Planning Departments
Urban Planning Departments are responsible for designing and regulating the development of urban areas. They plan for land use, infrastructure, transportation, and community development to create functional and sustainable cities. These departments are accountable for using AI in urban planning in ways that respect residents' rights and promote equitable development. They must prevent AI from reinforcing social inequalities or infringing on privacy through excessive surveillance. Ethical AI use can help them design smarter, more inclusive cities. Examples include using AI to model urban growth and plan infrastructure that benefits all residents, including underserved communities. Implementing AI systems to optimize traffic flow and reduce emissions without violating privacy through intrusive data collection.ENV-WMC: Waste Management Companies
Waste Management Companies handle the collection, treatment, and disposal of waste materials. They play a critical role in maintaining public health and environmental cleanliness. These companies are accountable for using AI to improve waste management processes ethically. They must ensure that AI applications do not lead to unfair labor practices or environmental harm, such as illegal dumping in disadvantaged areas. By adopting ethical AI, they can enhance efficiency while upholding human rights. Examples include implementing AI for route optimization in waste collection to reduce fuel consumption and emissions. Using AI to sort recyclable materials more effectively, reducing waste sent to landfills and promoting environmental sustainability.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights in environmental and energy contexts. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to protect the environment while safeguarding the rights and dignity of all people.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - GOV: Government and Public SectorThe Government and Public Sector encompasses all institutions and organizations that are part of the governmental framework at the local, regional, and national levels. This includes government agencies, civil registration services, economic planning bodies, public officials, public services, regulatory bodies, and government surveillance entities. The GOV sector is responsible for creating and implementing policies, providing public services, and upholding the rule of law. It plays a vital role in shaping society, promoting the welfare of citizens, and ensuring the effective functioning of the state.
GOV-AGY: Government Agencies
Government Agencies are administrative units of the government responsible for specific functions such as health, education, transportation, and environmental protection. They implement laws, deliver public services, and regulate various sectors. The GOV-AGY sector is accountable for ensuring that AI is used ethically in public administration. This includes promoting transparency, protecting citizens' data, and preventing biases in AI systems that could lead to unfair treatment. By integrating ethical AI practices, government agencies can enhance service delivery while upholding human rights. Examples include using AI-powered chatbots to improve citizen access to information and services while ensuring data privacy and security. Implementing AI in processing applications or claims efficiently, without discriminating against any group based on race, gender, or socioeconomic status.GOV-CRS: Civil Registration Services
Civil Registration Services are responsible for recording vital events such as births, deaths, marriages, and divorces. They maintain official records essential for legal identity and access to services. These services are accountable for using AI ethically to manage and protect personal data. They must ensure that AI systems used in data processing do not compromise the privacy or security of individuals' sensitive information. Ethical AI use can improve accuracy and efficiency in maintaining civil records. Examples include employing AI to detect and correct errors in civil records, ensuring that individuals' legal identities are accurately reflected. Using AI to streamline the registration process, making it more accessible while safeguarding personal data against unauthorized access.GOV-ECN: Economic Planning Bodies
Economic Planning Bodies are government entities that develop strategies for economic growth, resource allocation, and development policies. They analyze economic data to inform decision-making and promote national prosperity. The GOV-ECN sector is accountable for using AI in economic planning ethically. This involves ensuring that AI models do not perpetuate economic disparities or exclude marginalized communities from development benefits. By applying ethical AI, they can promote inclusive and sustainable economic growth. Examples include utilizing AI for economic forecasting to make informed policy decisions that benefit all segments of society. Implementing AI to assess the potential impact of economic policies on different demographics, thereby promoting equity and reducing inequality.GOV-PPM: Public Officials
Public Officials include elected representatives and appointed officers who hold positions of authority within the government. They are responsible for making decisions, enacting laws, and overseeing the implementation of policies. Public officials are accountable for promoting the ethical use of AI in governance. They must ensure that AI technologies are used to enhance democratic processes, increase transparency, and protect citizens' rights. Their leadership is crucial in setting ethical standards and regulations for AI deployment. Examples include advocating for legislation that regulates AI use to prevent abuses such as mass surveillance or algorithmic discrimination. Using AI tools to engage with constituents more effectively, such as sentiment analysis on public feedback, while ensuring that such tools respect privacy and free speech rights.GOV-PUB: Public Services
Public Services encompass various services provided by the government to its citizens, including healthcare, education, transportation, and public safety. These services aim to meet the needs of the public and improve quality of life. The GOV-PUB sector is accountable for integrating AI into public services ethically. This involves ensuring equitable access, preventing biases, and protecting user data. Ethical AI use can enhance service efficiency and effectiveness while respecting human rights. Examples include deploying AI in public healthcare systems to predict disease outbreaks and allocate resources efficiently, without compromising patient confidentiality. Using AI in public transportation to optimize routes and schedules, improving accessibility while safeguarding passenger data.GOV-REG: Regulatory Bodies
Regulatory Bodies are government agencies tasked with overseeing specific industries or activities to ensure compliance with laws and regulations. They protect public interests by enforcing standards and addressing misconduct. These bodies are accountable for regulating the ethical use of AI across various sectors. They must develop guidelines and enforce compliance to prevent AI-related abuses, such as discrimination or privacy violations. Their role is critical in setting the framework for responsible AI deployment. Examples include establishing regulations that require transparency in AI algorithms used by companies, ensuring they do not discriminate against consumers. Monitoring and auditing AI systems to verify compliance with data protection laws and ethical standards.GOV-SUR: Government Surveillance
Government Surveillance entities are responsible for monitoring activities for purposes such as national security, law enforcement, and public safety. They collect and analyze data to detect and prevent criminal activities and threats. The GOV-SUR sector is accountable for ensuring that AI used in surveillance respects human rights, including the rights to privacy and freedom of expression. They must balance security objectives with individual freedoms, adhering to legal frameworks and ethical standards. Examples include implementing AI-driven surveillance systems with strict oversight to prevent misuse and unauthorized access. Employing AI for specific, targeted investigations with appropriate warrants and legal processes, avoiding mass surveillance practices that infringe on citizens' rights.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights within government and public services. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to enhance governance, protect citizens, and promote transparency and fairness in public administration.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - REG: Regulatory and Oversight BodiesThe Regulatory and Oversight Bodies sector encompasses organizations responsible for creating, implementing, and enforcing regulations, as well as monitoring compliance across various industries. This includes regulatory agencies, data protection authorities, ethics committees, oversight bodies, and other regulatory entities. The REG sector plays a critical role in ensuring that laws and standards are upheld, protecting public interests, promoting fair practices, and safeguarding human rights in the context of technological advancements like artificial intelligence (AI).
REG-AGY: Regulatory Agencies
Regulatory Agencies are government-appointed bodies tasked with creating and enforcing rules and regulations within specific industries or sectors. They oversee compliance with laws, issue licenses, conduct inspections, and take enforcement actions when necessary. These agencies are accountable for ensuring that AI technologies within their jurisdictions are developed and used ethically and responsibly. This involves setting standards for AI deployment, preventing abuses, and promoting practices that advance human rights. By regulating AI effectively, they help prevent harm and foster public trust in technological innovations. Examples include establishing guidelines for AI transparency and accountability in industries like finance or healthcare, ensuring that AI systems do not discriminate or violate privacy rights. Enforcing regulations that require companies to conduct human rights impact assessments before deploying AI technologies.REG-DPA: Data Protection Authorities
Data Protection Authorities are specialized regulatory bodies responsible for overseeing the implementation of data protection laws and safeguarding individuals' personal information. They monitor compliance, handle complaints, and have the power to enforce penalties for violations. These authorities are accountable for ensuring that AI systems handling personal data comply with data protection principles such as lawfulness, fairness, transparency, and data minimization. They play a crucial role in preventing privacy infringements and promoting the ethical use of AI in processing personal information. Examples include reviewing and approving AI data processing activities to ensure they meet legal requirements. Investigating breaches involving AI systems and imposing sanctions on organizations that misuse personal data or fail to protect it adequately.REG-ETH: Ethics Committees
Ethics Committees are groups of experts who evaluate the ethical implications of policies, research projects, or technological developments. They provide guidance, assess compliance with ethical standards, and make recommendations to ensure responsible conduct. These committees are accountable for scrutinizing AI initiatives to identify potential ethical issues, such as biases, unfair treatment, or risks to human dignity. By promoting ethical considerations in AI development and deployment, they help prevent human rights abuses and encourage technologies that benefit society. Examples include reviewing AI research proposals to ensure they respect participants' rights and obtain informed consent. Providing guidance on ethical AI practices for organizations, helping them integrate ethical principles into their AI strategies and operations.REG-OVS: Oversight Bodies
Oversight Bodies are organizations or committees tasked with monitoring and evaluating the activities of institutions, agencies, or specific sectors to ensure accountability and compliance with laws and regulations. They may be independent or part of a governmental framework. These bodies are accountable for overseeing the use of AI across various domains, ensuring that organizations adhere to legal and ethical standards. They help detect and address potential abuses, promoting transparency and fostering public confidence in AI technologies. Examples include auditing government agencies' use of AI to verify compliance with human rights obligations and data protection laws. Recommending corrective actions or policy changes when AI applications are found to have negative impacts on individuals or communities.REG-RBY: Regulatory Bodies
Regulatory Bodies are official organizations that establish and enforce rules within specific professional fields or industries. They set standards, issue certifications, and may discipline members who do not comply with established norms. These bodies are accountable for incorporating AI considerations into their regulatory frameworks, ensuring that professionals using AI adhere to ethical guidelines and best practices. They play a key role in preventing malpractice and promoting the responsible use of AI. Examples include a medical board setting standards for AI-assisted diagnostics, ensuring that healthcare providers use AI tools that are safe, effective, and respect patient rights. A legal bar association providing guidelines on AI use in legal practice to prevent biases and maintain client confidentiality.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights. Their accountability lies in the responsible development, enforcement, and oversight of regulations and standards governing AI technologies. Through diligent regulation and monitoring, they ensure that AI is used to benefit society while safeguarding individual rights and upholding public trust.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - HLTH: Healthcare and Public HealthThe Healthcare and Public Health sector encompasses all organizations and entities involved in delivering health services, promoting wellness, preventing disease, and managing health-related technologies and products. This includes healthcare providers, health insurance companies, healthcare technology companies, medical device manufacturers, mental health services, public health agencies, and pharmaceutical companies. The HLTH sector plays a vital role in maintaining and improving the health of individuals and communities, advancing medical knowledge, and ensuring access to quality healthcare.
HLTH-HCP: Healthcare Providers
Healthcare Providers include hospitals, clinics, doctors, nurses, and other medical professionals who deliver direct patient care. They diagnose illnesses, provide treatments, and promote health and well-being. These providers are accountable for ensuring that AI is used ethically in patient care. This involves protecting patient privacy, obtaining informed consent for AI-assisted treatments, and preventing biases in AI diagnostics that could lead to misdiagnosis or unequal treatment. By integrating ethical AI practices, healthcare providers can enhance patient outcomes while upholding human rights. Examples include using AI-powered diagnostic tools that assist in identifying diseases accurately, ensuring they are validated across diverse populations to prevent racial or gender biases. Implementing AI systems for patient monitoring that respect privacy and data security, alerting healthcare professionals to critical changes without compromising patient confidentiality.HLTH-HIC: Health Insurance Companies
Health Insurance Companies offer policies that cover medical expenses for individuals and groups. They manage risk pools, process claims, and work with healthcare providers to facilitate patient care. The HLTH-HIC sector is accountable for using AI ethically in underwriting and claims processing. This includes preventing discriminatory practices in policy offerings and ensuring transparency in decision-making processes. They must protect sensitive customer data and promote equitable access to health insurance. Examples include employing AI algorithms that assess risk without discriminating based on pre-existing conditions, socioeconomic status, or other protected characteristics. Using AI to streamline claims processing, reducing delays in reimbursements while safeguarding personal health information.HLTH-HTC: Healthcare Technology Companies
Healthcare Technology Companies develop software, applications, and technological solutions for the healthcare industry. They innovate in areas such as electronic health records, telemedicine platforms, and AI-powered health tools. These companies are accountable for designing AI technologies that are safe, effective, and respect patient rights. They must prevent biases in AI systems, ensure data security, and obtain necessary regulatory approvals. Ethical AI use can drive innovation while maintaining trust in digital health solutions. Examples include creating AI-driven telemedicine platforms that expand access to care in remote areas while protecting patient confidentiality. Developing AI applications that assist in medical imaging analysis, ensuring they are trained on diverse datasets to provide accurate results across different populations.HLTH-MDC: Medical Device Manufacturers
Medical Device Manufacturers produce instruments, apparatuses, and machines used in medical diagnosis, treatment, and patient care. This includes everything from simple tools to complex AI-enabled devices. They are accountable for ensuring that AI-integrated medical devices are safe, effective, and compliant with regulatory standards. This involves rigorous testing, transparency in how AI algorithms function, and monitoring for unintended consequences. Ethical AI integration is essential to patient safety and trust. Examples include developing AI-powered wearable devices that monitor vital signs, ensuring they do not produce false alarms or miss critical conditions. Manufacturing surgical robots with AI capabilities that enhance precision while ensuring a surgeon remains in control to prevent errors.HLTH-MHS: Mental Health Services
Mental Health Services provide support for individuals dealing with mental health conditions through counseling, therapy, and psychiatric care. They play a crucial role in promoting mental well-being and treating mental illnesses. The HLTH-MHS sector is accountable for using AI ethically to enhance mental health care. This includes protecting patient privacy, obtaining informed consent, and ensuring AI tools do not replace human empathy and judgment. Ethical AI can support mental health professionals while respecting patients' rights. Examples include using AI chatbots to provide preliminary mental health assessments, ensuring they direct individuals to professional care when needed and maintain confidentiality. Implementing AI analytics to identify patterns in patient data that can inform treatment plans without stigmatizing individuals.HLTH-PHA: Public Health Agencies
Public Health Agencies are government bodies responsible for monitoring and improving the health of populations. They conduct disease surveillance, promote health education, and implement policies to prevent illness and injury. These agencies are accountable for using AI ethically in public health initiatives. This involves ensuring data collected is used responsibly, protecting individual privacy, and preventing misuse of information. Ethical AI can enhance public health responses while maintaining public trust. Examples include employing AI to predict and track disease outbreaks, enabling timely interventions while anonymizing personal data to protect privacy. Using AI to analyze health trends and inform policy decisions that address health disparities without discriminating against vulnerable groups.HLTH-PHC: Pharmaceutical Companies
Pharmaceutical Companies research, develop, manufacture, and market medications. They play a critical role in treating diseases, alleviating symptoms, and improving quality of life. The HLTH-PHC sector is accountable for using AI ethically in drug discovery, clinical trials, and marketing. This includes ensuring that AI models do not introduce biases, respecting patient consent, and being transparent about AI's role in decision-making processes. Ethical AI use can accelerate medical advancements while safeguarding patient rights. Examples include using AI algorithms to identify potential drug candidates more efficiently, ensuring that clinical trial data is representative and unbiased. Implementing AI to monitor adverse drug reactions post-market, protecting patient safety through proactive measures.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights in healthcare and public health. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to improve health outcomes while respecting the rights, dignity, and privacy of all individuals.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - BUS: Business SectorsThe Business Sectors encompass a wide range of industries and enterprises engaged in commercial, industrial, and professional activities. This includes agriculture industries, the automotive industry, corporations and enterprises, energy companies, financial services, gig economy platforms, manufacturing industries, marketing and advertising firms, pharmaceutical companies, retail companies, small and medium-sized enterprises, service industries, and technology companies. The BUS sector plays a significant role in economic development, job creation, innovation, and the provision of goods and services that meet societal needs.
BUS-AGR: Agriculture Industries
Agriculture Industries involve the cultivation of crops, raising of livestock, and production of food and raw materials. This sector is fundamental to food security and the sustenance of populations worldwide. These industries are accountable for using AI ethically to enhance productivity, sustainability, and resilience while respecting environmental and human rights. They must ensure that AI applications do not lead to unfair labor practices, environmental degradation, or exploitation of small-scale farmers. Examples include implementing AI-powered precision agriculture techniques that optimize resource use, reduce waste, and minimize environmental impact without displacing workers unjustly. Using AI to forecast weather patterns and crop diseases, supporting farmers in making informed decisions while ensuring access to technology for smallholders.BUS-AUT: Automotive Industry
The Automotive Industry encompasses companies involved in the design, manufacture, marketing, and sale of motor vehicles. This sector is integral to transportation and has significant economic and environmental implications. These companies are accountable for using AI ethically in vehicle development, manufacturing processes, and customer interactions. They must ensure that AI technologies, such as autonomous driving systems, are safe, reliable, and respect user privacy and safety standards. Examples include developing AI-driven autonomous vehicles with robust safety measures, thoroughly tested to prevent accidents and protect passengers and pedestrians. Using AI in manufacturing to improve efficiency and product quality without violating labor rights or displacing workers without fair transition support.BUS-COR: Corporations and Enterprises
Corporations and Enterprises are large businesses operating in various industries, providing goods and services on a national or global scale. They have substantial influence on economies, employment, and societal trends. These entities are accountable for integrating ethical AI practices across their operations, from supply chain management to customer engagement. They must prevent AI-driven decisions that could lead to discrimination, privacy violations, or environmental harm. Examples include using AI for supply chain optimization that ensures ethical sourcing and transparency, avoiding suppliers involved in labor abuses. Implementing AI in customer service to enhance user experience while protecting personal data and avoiding biased interactions.BUS-ENE: Energy Companies
Energy Companies are involved in the production, distribution, and sale of energy, including fossil fuels, electricity, and renewable energy sources. They play a critical role in powering economies and impacting environmental sustainability. These companies are accountable for using AI ethically to optimize energy production and consumption while reducing environmental impact. They must prevent AI applications from contributing to environmental degradation or infringing on community rights. Examples include utilizing AI for predictive maintenance of equipment to prevent accidents and environmental spills. Implementing AI systems to manage energy grids efficiently, integrating renewable energy sources and reducing greenhouse gas emissions.BUS-FIN: Financial Services
Financial Services include institutions that manage money, provide banking services, insurance, investment, and facilitate financial transactions. They are essential for economic stability and growth. These institutions are accountable for using AI ethically in financial decision-making, customer interactions, and risk management. They must prevent discriminatory practices, protect customer data, and promote financial inclusion. Examples include employing AI algorithms for credit scoring that are transparent and free from biases, ensuring fair access to loans. Using AI in fraud detection to protect customers without infringing on privacy or unfairly targeting certain groups.BUS-GIG: Gig Economy Platforms
Gig Economy Platforms are digital marketplaces that connect freelancers or contractors with clients for short-term work or services. They have transformed traditional employment models. These platforms are accountable for using AI ethically to manage work allocation, compensation, and worker evaluations. They must ensure fair treatment of gig workers, prevent exploitation, and protect their rights. Examples include implementing AI systems that distribute work opportunities equitably among workers. Using AI to set fair pricing for services, avoiding algorithms that depress wages or create unfair competition.BUS-MAN: Manufacturing Industries
Manufacturing Industries produce goods using labor, machines, tools, and chemical or biological processing. They are a cornerstone of economic development and innovation. These industries are accountable for using AI ethically in production processes, ensuring worker safety, and environmental stewardship. They must prevent job displacement without support, unsafe working conditions, or environmental harm due to AI implementations. Examples include using AI-powered robots to enhance production efficiency while retraining workers for new roles, avoiding mass layoffs. Implementing AI for quality control to reduce waste and defects, contributing to sustainable manufacturing practices.BUS-MKT: Marketing and Advertising Firms
Marketing and Advertising Firms specialize in promoting products and services to consumers. They influence consumer behavior and market trends. These firms are accountable for using AI ethically in targeting, data collection, and content creation. They must respect consumer privacy, avoid manipulative practices, and prevent the spread of misinformation. Examples include using AI for personalized advertising that respects user consent and privacy preferences. Implementing AI analytics to understand consumer needs without exploiting vulnerabilities or reinforcing harmful stereotypes.BUS-PHC: Pharmaceutical Companies
Pharmaceutical Companies research, develop, produce, and market drugs and medical devices. They contribute to healthcare advancements and public health. These companies are accountable for using AI ethically in drug discovery, clinical trials, and marketing. They must ensure patient safety, data privacy, and avoid biases that could affect treatment accessibility. Examples include employing AI to accelerate drug discovery processes while ensuring clinical trials are inclusive and representative. Using AI to monitor drug safety post-market, protecting patient health by identifying adverse effects promptly.BUS-RET: Retail Companies
Retail Companies sell goods and services directly to consumers through physical stores or online platforms. They impact consumer choices and economic activity. These companies are accountable for using AI ethically in customer service, inventory management, and marketing. They must protect consumer data, avoid discriminatory pricing or services, and ensure fair labor practices in supply chains. Examples include implementing AI for personalized shopping experiences while safeguarding customer privacy. Using AI in supply chain management to ensure products are sourced ethically and sustainably.BUS-SME: Small and Medium-sized Enterprises
Small and Medium-sized Enterprises (SMEs) are businesses with a limited scale in terms of employees and revenue. They are vital for economic diversity and community development. SMEs are accountable for adopting AI ethically to enhance competitiveness without compromising ethical standards. They must ensure that AI use respects customer rights, employee well-being, and legal obligations. Examples include using AI chatbots to improve customer service accessibility while ensuring interactions are respectful and data is protected. Implementing AI tools to optimize operations, supporting business growth without reducing workforce unfairly.BUS-SVC: Service Industries
Service Industries provide intangible goods like healthcare, hospitality, finance, education, and entertainment. They are essential for societal functioning and quality of life. These industries are accountable for using AI ethically to enhance service delivery, customer satisfaction, and operational efficiency. They must prevent biases, protect personal data, and ensure accessibility. Examples include using AI in healthcare for patient diagnostics, ensuring accuracy and avoiding biases that could affect treatment. Implementing AI in hospitality to personalize guest experiences while respecting privacy and cultural sensitivities.BUS-TECH: Technology Companies
Technology Companies develop and sell technology products or services, including software, hardware, and IT solutions. They drive innovation and digital transformation. These companies are accountable for ensuring that AI technologies are developed and deployed ethically, promoting transparency, fairness, and accountability. They must prevent biases in AI algorithms, protect user data, and consider societal impacts. Examples include creating AI applications that are transparent and explainable, allowing users to understand and challenge decisions. Implementing robust security measures in AI products to protect against misuse or cyber threats.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights in the business domain. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to foster innovation, drive economic growth, and meet societal needs while safeguarding individual rights, promoting fairness, and ensuring sustainable practices.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - SOC: Social Services and HousingThe Social Services and Housing sector encompasses organizations and agencies dedicated to providing support, assistance, and essential services to individuals and communities in need. This includes child welfare organizations, community support services, homeless shelters, housing authorities, non-profit organizations, social services, and welfare agencies. The SOC sector plays a vital role in promoting social welfare, reducing inequalities, and enhancing the quality of life for vulnerable populations.
SOC-CHA: Child Welfare Organizations
Child Welfare Organizations are dedicated to the well-being and protection of children. They work to prevent abuse and neglect, provide foster care and adoption services, and support families to ensure safe and nurturing environments for children. These organizations are accountable for ensuring that AI is used ethically to enhance child protection efforts while safeguarding children's rights and privacy. This includes preventing biases in AI systems that could lead to unfair treatment or discrimination against certain groups of children or families. By integrating ethical AI practices, they can improve the effectiveness of interventions and promote the best interests of the child. Examples include using AI to analyze data and identify risk factors for child abuse or neglect, enabling proactive support while ensuring data confidentiality. Implementing AI tools to match children with suitable foster families more efficiently, considering the child's needs and preferences without bias.SOC-COM: Community Support Services
Community Support Services provide assistance and resources to individuals and families within a community. They address various needs, such as counseling, education, employment support, and access to healthcare. These services are accountable for using AI ethically to enhance service delivery and accessibility while respecting clients' rights and privacy. This involves preventing discrimination, ensuring inclusivity, and protecting sensitive information. Ethical AI can help tailor support to individual needs and improve outcomes. Examples include utilizing AI-driven platforms to connect community members with appropriate services and resources based on their unique circumstances, ensuring equitable access. Employing AI to analyze community needs and trends, informing program development and resource allocation without compromising individual privacy.SOC-HOM: Homeless Shelters
Homeless Shelters provide temporary housing, food, and support services to individuals and families experiencing homelessness. They aim to meet immediate needs and assist clients in transitioning to stable housing. These shelters are accountable for using AI ethically to improve service efficiency and support clients while protecting their dignity and rights. This includes safeguarding personal data, preventing biases in service provision, and ensuring that AI does not create barriers to access. Examples include implementing AI systems to manage shelter capacity and resources effectively, ensuring that services are available when needed without disclosing personal information. Using AI to identify patterns that lead to homelessness, informing prevention strategies and policy interventions while respecting clients' privacy.SOC-HOU: Housing Authorities
Housing Authorities are government agencies or organizations that develop, manage, and provide affordable housing options for low-income individuals and families. They work to ensure access to safe, decent, and affordable housing. These authorities are accountable for using AI ethically to allocate housing resources fairly and efficiently. This involves preventing discriminatory practices in housing assignments, protecting applicants' data, and promoting transparency in decision-making processes. Examples include employing AI algorithms to assess housing applications objectively, ensuring equal opportunity regardless of race, gender, or socioeconomic status. Using AI to predict maintenance needs in housing units, improving living conditions without infringing on residents' rights.SOC-NPO: Non-Profit Organizations
Non-Profit Organizations in the social services sector work to address various social issues, such as poverty, hunger, education, and healthcare. They operate based on charitable missions rather than profit motives. These organizations are accountable for using AI ethically to enhance their programs and services while upholding beneficiaries' rights. This includes ensuring inclusivity, protecting data privacy, and avoiding biases that could disadvantage certain groups. Examples include utilizing AI to optimize fundraising efforts, targeting campaigns effectively without exploiting donor data. Implementing AI-driven tools to evaluate program effectiveness, informing improvements while respecting the privacy of those served.SOC-SVC: Social Services
Social Services encompass a range of government-provided services aimed at supporting individuals and families in need. This includes financial assistance, disability services, elderly care, and employment support. These services are accountable for using AI ethically to deliver support efficiently while ensuring fairness and protecting clients' rights. They must prevent biases in eligibility assessments, safeguard personal information, and ensure that AI enhances rather than hinders access to services. Examples include using AI to process applications for assistance more quickly, reducing wait times while ensuring that eligibility criteria are applied consistently and fairly. Employing AI chatbots to provide information and guidance to applicants, improving accessibility while maintaining confidentiality.SOC-WEL: Welfare Agencies
Welfare Agencies are government bodies that administer public assistance programs to support the economically disadvantaged. They provide services such as income support, food assistance, and healthcare subsidies. These agencies are accountable for using AI ethically to manage welfare programs effectively while upholding the rights and dignity of beneficiaries. This involves preventing errors or biases that could lead to wrongful denial of benefits, protecting sensitive data, and ensuring transparency. Examples include implementing AI systems to detect and prevent fraud in welfare programs without unjustly targeting or penalizing legitimate beneficiaries. Using AI analytics to identify trends and needs within the population served, informing policy decisions while safeguarding individual privacy. Summar By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights in social services and housing. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to enhance support for vulnerable populations, promote fairness and inclusivity, and ensure that the use of AI respects the rights, dignity, and privacy of all individuals.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the recruitment and research stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - TRAN: Transportation and InfrastructureThe Transportation and Infrastructure sector encompasses organizations and entities involved in the movement of people and goods, as well as the development and maintenance of transportation systems and infrastructure. This includes airlines, the automotive industry, infrastructure development firms, public transportation systems, transportation services, travel companies, and urban planning. The TRAN sector plays a critical role in enabling mobility, supporting economic growth, and shaping the built environment.
TRAN-AIR: Airlines
Airlines are companies that provide air transport services for passengers and cargo. They operate aircraft, manage flight operations, and ensure the safety and comfort of travelers. These companies are accountable for using AI ethically to enhance safety, efficiency, and customer experience while respecting passenger rights. This involves ensuring that AI systems used in operations and customer service do not discriminate, infringe on privacy, or compromise safety standards. By integrating ethical AI practices, airlines can improve services while upholding human rights. Examples include utilizing AI for flight path optimization to reduce fuel consumption and emissions without compromising safety. Implementing AI-powered customer service chatbots that provide assistance while protecting passenger data and ensuring accessibility for all customers.TRAN-AUT: Automotive Industry
The Automotive Industry includes manufacturers, suppliers, and dealers involved in the design, production, and sale of motor vehicles. This sector is increasingly integrating AI technologies in vehicles and manufacturing processes. These companies are accountable for ensuring that AI in vehicles, such as autonomous driving systems, is safe, reliable, and respects user privacy. They must prevent biases in AI algorithms that could affect safety features or accessibility. Ethical AI use is essential for building public trust and advancing transportation safety. Examples include developing AI-driven autonomous vehicles that adhere to strict safety standards and are tested thoroughly to prevent accidents. Using AI in manufacturing to improve efficiency and worker safety without displacing jobs unfairly or violating labor rights.TRAN-INF: Infrastructure Development Firms
Infrastructure Development Firms specialize in planning, designing, and constructing infrastructure projects like roads, bridges, tunnels, and public facilities. They play a key role in developing the physical framework of societies. These firms are accountable for using AI ethically to enhance project efficiency, sustainability, and safety while considering the impact on communities. They must ensure that AI applications do not lead to environmental degradation or displacement of populations without fair compensation or consent. Examples include employing AI for predictive maintenance of infrastructure, identifying potential issues before they become hazardous, thus protecting public safety. Using AI in planning to optimize infrastructure design for minimal environmental impact and equitable access for all community members.TRAN-PTS: Public Transportation Systems
Public Transportation Systems include buses, subways, trains, and other forms of mass transit operated by government entities or private companies. They provide essential mobility services to the public. These systems are accountable for using AI ethically to improve service efficiency, accessibility, and user experience while respecting passenger rights. This involves preventing surveillance practices that infringe on privacy, ensuring equitable access, and avoiding biases in service provision. Examples include implementing AI for dynamic scheduling and routing to reduce wait times and overcrowding, benefiting all users. Using AI-powered ticketing systems that are accessible to people with disabilities and do not exclude individuals without access to digital technologies.TRAN-TRS: Transportation Services
Transportation Services encompass companies that provide various transport solutions, such as ride-sharing services, logistics providers, and freight companies. They facilitate the movement of people and goods locally and globally. These companies are accountable for using AI ethically in operations, ensuring fairness, safety, and respect for user privacy. They must prevent discriminatory practices in pricing or service availability and protect the data of users and drivers. Examples include using AI algorithms for ride-sharing that fairly distribute ride opportunities among drivers and avoid surge pricing practices that exploit customers. Employing AI in logistics to optimize delivery routes, reducing emissions and improving efficiency without infringing on workers' rights.TRAN-TRV: Travel Companies
Travel Companies offer services related to travel planning, booking, and management, including travel agencies, booking platforms, and tour operators. They connect travelers with transportation, accommodation, and experiences. These companies are accountable for using AI ethically to enhance customer experience while protecting personal data and ensuring fair practices. They must avoid biases in recommendations and pricing that could discriminate against certain groups. Examples include implementing AI for personalized travel recommendations that respect user preferences without unfairly limiting options. Using AI in customer service to assist travelers efficiently while safeguarding their personal and payment information.TRAN-URB: Urban Planning
Urban Planning involves the development and design of land use and the built environment in urban areas. Urban planners work on zoning, infrastructure, transportation networks, and public spaces to create functional and sustainable cities. Urban planners are accountable for using AI ethically to inform decisions that impact communities. This includes ensuring that AI tools do not perpetuate social inequalities, infringe on residents' rights, or exclude marginalized populations from the benefits of urban development. Examples include using AI to model urban growth scenarios that consider the needs of all residents, promoting equitable access to services and amenities. Implementing AI in traffic management to reduce congestion and emissions without violating privacy through excessive surveillance.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights in transportation and infrastructure. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to improve mobility, enhance safety, and build sustainable environments while respecting the rights, dignity, and privacy of all individuals.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - EDU: Education and ResearchThe Education and Research sector encompasses institutions and organizations dedicated to teaching, learning, and scholarly investigation. This includes schools, universities, research institutes, and think tanks. The EDU sector plays a pivotal role in advancing knowledge, fostering innovation, and shaping the minds of future generations.
EDU-INS: Educational Institutions
Educational Institutions include schools, colleges, and universities that provide formal education to students at various levels. They are responsible for delivering curricula, facilitating learning, and nurturing critical thinking skills. The EDU-INS sector is accountable for ensuring that AI is used ethically within educational settings. This commitment involves promoting equitable access to AI resources, protecting student data privacy, and preventing biases in AI-driven educational tools. By integrating ethical considerations into their use of AI, they can enhance learning outcomes while safeguarding students' rights. Examples include implementing AI-powered personalized learning platforms that adapt to individual student needs without compromising their privacy. Another example is using AI to detect and mitigate biases in educational materials, ensuring fair representation of diverse perspectives.EDU-RES: Research Organizations
Research Organizations comprise universities, laboratories, and independent institutes engaged in scientific and scholarly research. They contribute to the advancement of knowledge across various fields, including AI and machine learning. These organizations are accountable for conducting AI research responsibly, adhering to ethical guidelines, and considering the societal implications of their work. They must ensure that their research does not contribute to human rights abuses and instead advances human welfare. Examples include conducting interdisciplinary research on AI ethics to inform policy and practice. Developing AI technologies that address social challenges, such as healthcare disparities or environmental sustainability, while ensuring that these technologies are accessible and do not exacerbate inequalities.EDU-POL: Educational Policy Makers
Educational Policy Makers include government agencies, educational boards, and regulatory bodies that develop policies and standards for the education sector. They shape the educational landscape through legislation, funding, and oversight. They are accountable for creating policies that promote the ethical use of AI in education and research. This includes establishing guidelines for data privacy, equity in access to AI resources, and integration of AI ethics into curricula. Examples include drafting regulations that protect student data collected by AI tools, ensuring it is used appropriately and securely. Mandating the inclusion of AI ethics courses in educational programs to prepare students for responsible AI development and use.EDU-TEC: Educational Technology Providers
Educational Technology Providers are companies and organizations that develop and supply technological tools and platforms for education. They create software, hardware, and AI applications that support teaching and learning processes. These providers are accountable for designing AI educational tools that are ethical, inclusive, and respect users' rights. They must prevent biases in AI algorithms, protect user data, and ensure their products do not inadvertently harm or disadvantage any group. Examples include developing AI-driven learning apps that are accessible to students with disabilities, adhering to universal design principles. Implementing robust data security measures to protect sensitive information collected through educational platforms.EDU-FND: Educational Foundations and NGOs
Educational Foundations and NGOs are non-profit organizations focused on improving education systems and outcomes. They often support educational initiatives, fund research, and advocate for policy changes. They are accountable for promoting ethical AI practices in education through funding, advocacy, and program implementation. They can influence the sector by supporting projects that prioritize human rights and ethical considerations in AI. Examples include funding research on the impacts of AI in education to inform best practices. Advocating for policies that ensure equitable access to AI technologies in under-resourced schools, bridging the digital divide.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights in education. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to enhance learning while safeguarding the rights and dignity of all learners.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - INTL: International Organizations and RelationsThe International Organizations and Relations sector encompasses entities that operate across national borders to address global challenges, promote cooperation, and uphold international laws and standards. This includes international courts, diplomatic organizations, development agencies, governmental organizations, human rights organizations, humanitarian organizations, monitoring bodies, non-governmental organizations, peacekeeping organizations, and refugee organizations. The INTL sector plays a crucial role in fostering peace, advancing human rights, facilitating humanitarian aid, and promoting sustainable development worldwide.
INTL-CRT: International Courts
International Courts are judicial bodies that adjudicate disputes between states, individuals, and organizations under international law. Examples include the International Court of Justice (ICJ) and the International Criminal Court (ICC). These courts are accountable for ensuring that AI is used ethically in legal proceedings and judicial administration. This involves using AI to enhance efficiency and access to justice while safeguarding due process rights, preventing biases, and maintaining transparency. By integrating ethical AI practices, international courts can uphold justice and human rights more effectively. Examples include employing AI for case management systems that organize and prioritize cases efficiently without compromising the fairness of proceedings. Using AI-assisted legal research tools to aid judges and lawyers in accessing relevant international laws and precedents, ensuring comprehensive and unbiased consideration of legal matters.INTL-DIP: Diplomatic Organizations
Diplomatic Organizations consist of foreign affairs ministries, embassies, and diplomatic missions that manage international relations on behalf of states. They negotiate treaties, represent national interests, and foster cooperation between countries. These organizations are accountable for using AI ethically in diplomacy. This includes respecting privacy in communications, preventing misinformation, and promoting transparency. Ethical AI can enhance diplomatic efforts by providing data-driven insights while maintaining trust and respecting international norms. Examples include utilizing AI for language translation services to improve communication between diplomats of different nations, ensuring accuracy and cultural sensitivity. Implementing AI analytics to monitor global trends and inform foreign policy decisions without infringing on the sovereignty or rights of other nations.INTL-DEV: Development Agencies
Development Agencies are organizations dedicated to promoting economic growth, reducing poverty, and improving living standards in developing countries. This includes entities like the United Nations Development Programme (UNDP) and the World Bank. They are accountable for using AI ethically to advance sustainable development goals. This involves ensuring that AI initiatives do not exacerbate inequalities or infringe on local communities' rights. By adopting ethical AI, development agencies can enhance the effectiveness of their programs while promoting inclusive growth. Examples include deploying AI to analyze economic data and identify areas in need of investment, ensuring that interventions benefit marginalized populations. Using AI in agriculture to improve crop yields for smallholder farmers while safeguarding their land rights and traditional practices.INTL-GOV: Governmental Organizations
International Governmental Organizations (IGOs) are entities formed by treaties between governments to work on common interests. Examples include the United Nations (UN), the World Health Organization (WHO), and the International Monetary Fund (IMF). These organizations are accountable for setting ethical standards for AI use globally and ensuring that their own use of AI aligns with human rights principles. They must promote cooperation in regulating AI technologies and preventing their misuse. Examples include developing international guidelines for AI ethics that member states can adopt, fostering a coordinated approach to AI governance. Implementing AI in health surveillance to track disease outbreaks globally, ensuring data privacy and equitable access to healthcare resources.INTL-HRN: Human Rights Organizations
Human Rights Organizations work to protect and promote human rights as defined by international law. They monitor violations, advocate for victims, and promote awareness of human rights issues. These organizations are accountable for using AI ethically to enhance their advocacy and monitoring efforts. This includes protecting the privacy of vulnerable individuals, preventing biases in data analysis, and ensuring transparency. Examples include using AI to analyze large volumes of data from social media and reports to identify potential human rights abuses while anonymizing data to protect identities. Employing AI translation tools to make human rights documents accessible in multiple languages, promoting global awareness.INTL-HUM: Humanitarian Organizations
Humanitarian Organizations provide aid and relief during emergencies and crises, such as natural disasters, conflicts, and epidemics. Examples include the International Committee of the Red Cross (ICRC) and Médecins Sans Frontières (Doctors Without Borders). They are accountable for using AI ethically to deliver aid effectively while respecting the dignity and rights of affected populations. This involves ensuring that AI does not infringe on privacy or exacerbate vulnerabilities. Examples include using AI to optimize logistics for delivering humanitarian aid, ensuring timely assistance without collecting unnecessary personal data. Implementing AI in needs assessments to identify the most vulnerable populations while obtaining informed consent and protecting sensitive information.INTL-MON: Monitoring Bodies
Monitoring Bodies are organizations that observe and report on compliance with international agreements, such as human rights treaties or ceasefire agreements. They provide accountability and transparency in international affairs. These bodies are accountable for using AI ethically in monitoring activities. This includes ensuring accuracy, preventing biases, and respecting the rights of those being monitored. Ethical AI use can enhance their ability to detect violations without infringing on individual freedoms. Examples include employing AI to analyze satellite imagery for signs of conflict escalation or human rights abuses while ensuring data is used responsibly. Using AI to process large datasets from various sources to monitor compliance with environmental agreements, promoting transparency.INTL-NGO: Non-Governmental Organizations
Non-Governmental Organizations (NGOs) operate independently of governments to address social, environmental, and humanitarian issues. They advocate for policy changes, provide services, and raise public awareness. These organizations are accountable for using AI ethically in their programs and advocacy efforts. This involves protecting data privacy, preventing algorithmic biases, and promoting inclusivity. Ethical AI can amplify their impact while respecting the rights of those they serve. Examples include using AI to analyze environmental data for conservation efforts without infringing on indigenous peoples' land rights. Implementing AI-powered platforms to engage with supporters and the public, ensuring accessibility and preventing misinformation.INTL-PKO: Peacekeeping Organizations
Peacekeeping Organizations operate under international mandates to help maintain or restore peace in conflict zones. They deploy military and civilian personnel to support ceasefires, protect civilians, and assist in political processes. They are accountable for using AI ethically to enhance peacekeeping missions while upholding human rights standards. This includes ensuring AI aids in protecting vulnerable populations without exacerbating conflicts or infringing on rights. Examples include utilizing AI-powered data analytics to predict conflict hotspots and allocate resources effectively, thereby preventing violence. Deploying AI systems for monitoring compliance with peace agreements while ensuring that data collection respects the privacy and consent of local communities.INTL-REF: Refugee Organizations
Refugee Organizations work to protect and support refugees and displaced persons worldwide. Examples include the United Nations High Commissioner for Refugees (UNHCR) and various NGOs dedicated to refugee assistance. These organizations are accountable for using AI ethically to improve the lives of refugees while safeguarding their rights. This involves protecting sensitive personal data, preventing discrimination, and ensuring equitable access to services. Examples include employing AI to manage refugee registration efficiently while ensuring data security and consent. Using AI translation tools to facilitate communication between refugees and service providers, enhancing access to essential services without language barriers.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights on a global scale. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to foster international cooperation, uphold justice, promote peace, and support vulnerable populations while respecting the rights and dignity of all individuals.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you. - LAW: Legal and Law EnforcementThe Legal and Law Enforcement sector encompasses institutions and organizations responsible for upholding the law, ensuring justice, and maintaining public safety. This includes correctional facilities, law enforcement agencies, government surveillance programs, immigration and border control, judicial systems, legal tech companies, and private security firms. The LAW sector plays a critical role in protecting citizens' rights, enforcing laws, administering justice, and preserving social order.
LAW-COR: Correctional Facilities
Correctional Facilities include prisons, jails, and rehabilitation centers where individuals convicted of crimes serve their sentences. They aim to protect society, punish wrongdoing, and rehabilitate offenders for reintegration into the community. These facilities are accountable for ensuring that AI is used ethically to improve safety, rehabilitation, and operational efficiency without violating inmates' rights. This involves respecting privacy, preventing discriminatory practices, and promoting humane treatment. Ethical AI use can enhance rehabilitation efforts and support inmates' rights. Examples include using AI to assess inmates' needs and tailor rehabilitation programs accordingly, ensuring fair opportunities for all individuals. Implementing AI-powered monitoring systems to prevent violence or self-harm, while ensuring that surveillance respects privacy and is not overly intrusive.LAW-ENF: Law Enforcement
Law Enforcement agencies include police departments, federal investigative bodies, and other entities responsible for enforcing laws, preventing crime, and protecting citizens. They maintain public order and safety through various means, including patrols, investigations, and community engagement. The LAW-ENF sector is accountable for using AI ethically in policing activities. This includes preventing biases in AI systems used for predictive policing, facial recognition, or resource allocation. They must protect citizens' rights to privacy, due process, and equal treatment under the law. Examples include employing AI analytics to identify crime patterns and allocate resources effectively without targeting specific communities unfairly. Using AI-powered tools to assist in investigations while ensuring that data collection and analysis comply with legal standards and respect individual rights.LAW-GSP: Government Surveillance Programs
Government Surveillance Programs involve monitoring and collecting data by government agencies to enhance national security and public safety. They use technologies, including AI, to detect and prevent criminal activities, terrorism, and other threats to society. This sector is accountable for ensuring that AI is used ethically in surveillance programs. They must balance security objectives with the protection of individual freedoms, adhering to legal frameworks and human rights standards to prevent unlawful surveillance and violations of privacy rights. Examples include implementing AI systems that anonymize personal data to prevent profiling and discrimination while identifying potential security threats. Establishing oversight committees to monitor AI surveillance tools, ensuring compliance with privacy laws and civil liberties.LAW-IMM: Immigration and Border Control
Immigration and Border Control agencies manage the movement of people across national borders. They enforce immigration laws, process visas and asylum applications, and protect against illegal entry and trafficking. These agencies are accountable for using AI ethically to facilitate lawful immigration and enhance border security while respecting human rights. This includes preventing discriminatory practices, ensuring fair treatment of all individuals, and protecting sensitive personal information. Examples include using AI to streamline visa application processes, making them more efficient and accessible while safeguarding applicants' data. Implementing AI systems for risk assessment at borders that are free from biases and do not discriminate based on nationality, ethnicity, or religion.LAW-JUD: Judicial Systems
Judicial Systems comprise courts and related institutions responsible for interpreting laws, adjudicating disputes, and administering justice. They ensure that legal proceedings are fair, impartial, and follow due process. The LAW-JUD sector is accountable for ensuring that AI is used ethically in judicial processes. This involves using AI to enhance efficiency and access to justice while preventing biases in decision-making algorithms. They must maintain transparency and uphold the principles of fairness and equality before the law. Examples include employing AI for case management to reduce backlogs and expedite proceedings without compromising the quality of justice. Using AI tools to assist in legal research, providing judges and lawyers with comprehensive information while ensuring that recommendations do not introduce bias into judgments.LAW-LTC: Legal Tech Companies
Legal Tech Companies develop technology solutions for the legal industry, including software for case management, document automation, legal research, and AI-powered analytics. These companies are accountable for designing AI tools that support the legal profession ethically. They must ensure that their products do not perpetuate biases, compromise client confidentiality, or undermine the integrity of legal processes. Examples include creating AI-driven legal research platforms that provide unbiased and comprehensive results, aiding lawyers in building fair cases. Developing AI tools for contract analysis that protect sensitive information and adhere to data privacy regulations.LAW-SEC: Private Security Firms
Private Security Firms offer security services to individuals, businesses, and organizations. Their services include guarding property, personal protection, surveillance, and risk assessment. The LAW-SEC sector is accountable for using AI ethically to enhance security services without infringing on individuals' rights. This involves respecting privacy, avoiding discriminatory practices, and ensuring transparency in surveillance activities. Examples include implementing AI-powered surveillance systems that detect potential security threats while anonymizing data to protect privacy. Using AI for access control systems that verify identities without storing excessive personal information or discriminating against certain groups.Summary
By embracing ethical AI practices, each of these sectors can significantly contribute to the prevention of human rights abuses and the advancement of human rights within legal and law enforcement contexts. Their accountability lies in the responsible development, deployment, and oversight of AI technologies to uphold justice, protect citizens, and ensure that the enforcement of laws does not come at the expense of individual freedoms and dignity.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the research and review stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you.
AI’s Potential Violations #
[Insert 300- to 500-word analysis of how AI could violate this human right.]
AI’s Potential Benefits #
[Insert 300- to 500-word analysis of how AI could advance this human right.]
Human Rights Instruments #
Universal Declaration of Human Rights (1948) #
G.A. Res. 217 (III) A, Universal Declaration of Human Rights, U.N. Doc. A/RES/217(III) (Dec. 10, 1948).
Article 25
1. Everyone has the right to a standard of living adequate for the health and well-being of himself and of his family, including food, clothing, housing and medical care and necessary social services, and the right to Security
in the event of unemployment, sickness, disability, widowhood, old age or other lack of livelihood in circumstances beyond his ControlSecurity in artificial intelligence (AI) refers to the principle that AI systems must be designed to resist external threats and protect the integrity, confidentiality, and availability of data and functionality. Security ensures AI systems are safeguarded against unauthorized access, manipulation, or exploitation, maintaining trust and reliability in AI technologies. This principle is particularly critical in sensitive domains such as finance, healthcare, and critical infrastructure, where vulnerabilities can have far-reaching consequences. Effective AI security emphasizes proactive measures, such as testing system resilience, sharing information about cyber threats, and implementing robust data protection strategies. Techniques like anonymization, de-identification, and data aggregation reduce risks to personal and sensitive information. Security by design—embedding security measures at every stage of an AI system’s lifecycle—is a cornerstone of this principle. This includes deploying fallback mechanisms, secure software protocols, and continuous monitoring to detect and address potential threats. These measures not only protect AI systems but also foster trust among users and stakeholders by ensuring their safe and ethical operation. Challenges to achieving AI security include the increasing complexity of AI models, the sophistication of cyber threats, and the need to balance security with transparency and usability. As AI technologies often operate across borders, international cooperation is essential to establish and enforce global security standards. Collaborative efforts among governments, private sector actors, and civil society can create unified frameworks to address cross-border threats and ensure the ethical deployment of secure AI systems. Ultimately, the principle of security safeguards individual and organizational assets while upholding broader societal trust in AI. By prioritizing security in design, deployment, and governance, developers and policymakers can ensure AI technologies serve humanity responsibly and reliably. For Further Reading Fjeld, Jessica, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. “Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI.” Berkman Klein Center for Internet & Society at Harvard University, Research Publication No. 2020-1, January 15, 2020.
Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the recruitment and research stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you.Fjeld, Achten, Hilligoss, Nagy, Srikumar write, “Control over the use of data” as a principle stands for the notion that data subjects should have some degree of influence over how and why information about them is used. Certain other principles under the privacy theme, including “consent,” “ability to restrict processing,” “right to rectification,” and “right to erasure” can be thought of as more specific instantiations of the control principle since they are mechanisms by which a data subject might exert control. Perhaps because this principle functions as a higher-level articulation, many of the documents we coded under it are light in the way of definitions for “control.” Citation Fjeld, Jessica, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. “Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI.” Berkman Klein Center for Internet & Society at Harvard University, Research Publication No. 2020-1. January 15, 2020..
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the recruitment and research stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you.2. Motherhood and childhood are entitled to special care and assistance. All children, whether born in or out of wedlock, shall enjoy the same social protection.
International Covenant on Civil and Political Rights (1966) #
G.A. Res. 2200A (XXI), International Covenant on Civil and Political Rights, U.N. Doc. A/6316 (1966), 999 U.N.T.S. 171 (Dec. 16, 1966)
Article 12
1. The States Parties to the present Covenant recognize the right of everyone to the enjoyment of the highest attainable standard of physical and mental health.
2. The steps to be taken by the States Parties to the present Covenant to achieve the full realization of this right shall include those necessary for:
(a) The provision for the reduction of the stillbirth-rate and of infant mortality and for the healthy development of the child;
(b) The improvement of all aspects of environmental and industrial hygiene;
(c) The prevention, treatment and Control
of epidemic, endemic, occupational and other diseases;Fjeld, Achten, Hilligoss, Nagy, Srikumar write, “Control over the use of data” as a principle stands for the notion that data subjects should have some degree of influence over how and why information about them is used. Certain other principles under the privacy theme, including “consent,” “ability to restrict processing,” “right to rectification,” and “right to erasure” can be thought of as more specific instantiations of the control principle since they are mechanisms by which a data subject might exert control. Perhaps because this principle functions as a higher-level articulation, many of the documents we coded under it are light in the way of definitions for “control.” Citation Fjeld, Jessica, Nele Achten, Hannah Hilligoss, Adam Nagy, and Madhulika Srikumar. “Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI.” Berkman Klein Center for Internet & Society at Harvard University, Research Publication No. 2020-1. January 15, 2020.
Disclaimer: Our global network of contributors to the AI & Human Rights Index is currently writing these articles and glossary entries. This particular page is currently in the recruitment and research stage. Please return later to see where this page is in the editorial workflow. Thank you! We look forward to learning with and from you.(d) The creation of conditions which would assure to all medical service and medical attention in the event of sickness.
Report of the United Nations Conference on the Human Environment (1972) #
Stockholm Declaration A/CONF.48/14/Rev.1
In totality.
Last Updated: April 4, 2025
Research Assistant: Amisha Rastogi
Contributor: To Be Determined
Reviewer: To Be Determined
Editor: Georgina Curto Rex
Subject: Human Right
Edition: Edition 1.0 Research
Recommended Citation: "XII.B. Right to Environmental Health, Edition 1.0 Research." In AI & Human Rights Index, edited by Nathan C. Walker, Dirk Brand, Caitlin Corrigan, Georgina Curto Rex, Alexander Kriebitz, John Maldonado, Kanshukan Rajaratnam, and Tanya de Villiers-Botha. New York: All Tech is Human; Camden, NJ: AI Ethics Lab at Rutgers University, 2025. Accessed April 24, 2025. https://aiethicslab.rutgers.edu/Docs/xii-b-environmental-health/.
