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[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.

• BUS: Business Sectors
• GOV: Government and Public Sector
• INTL: International Organizations and Relations
• LAW: Legal and Law Enforcement
• REG: Regulatory and Oversight Bodies
• WORK: Employment and Labor

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 23

3. Everyone who works has the right to just and favourable remuneration ensuring for himself and his family an existence worthy of human Dignity

Human dignity refers to the inherent worth and respect that every individual possesses, irrespective of their status, identity, or achievements. In the context of artificial intelligence (AI), dignity emphasizes the need for AI systems to be designed, developed, and deployed in ways that respect, preserve, and even enhance this intrinsic human value. While many existing AI ethics guidelines reference dignity, they often leave it undefined, highlighting instead its close relationship to human rights and its role in avoiding harm, forced acceptance, automated classification, and unconsented interactions between humans and AI. Fundamentally, dignity serves as a cornerstone of ethical AI practices, requiring systems to prioritize human well-being and autonomy. The preservation of dignity in AI systems places significant ethical responsibilities on developers, organizations, and policymakers. Developers play a pivotal role in ensuring that AI technologies respect privacy and autonomy by safeguarding personal data and avoiding manipulative practices. Bias mitigation is another critical responsibility, as AI systems must strive to eliminate discriminatory outcomes that could undermine the dignity of individuals based on race, gender, age, or other characteristics. Furthermore, transparency and accountability in AI operations are essential for upholding dignity, as they provide mechanisms to understand and address the impacts of AI systems on individuals and communities. Governance and legislation are equally important in safeguarding human dignity in the AI landscape. New legal frameworks and regulations can mandate ethical development and deployment practices, with a focus on protecting human rights and dignity. Government-issued technical and methodological guidelines can provide developers with clear standards for ethical AI design. Additionally, international cooperation is essential to establish a unified, global approach to AI ethics, recognizing the cross-border implications of AI technologies. By embedding dignity into AI systems and governance structures, society can ensure that AI technologies respect and enhance human worth, fostering trust, equity, and ethical innovation.   Recommended Reading Anna Jobin, Marcello Ienca, and Effy Vayena. "The Global Landscape of AI Ethics Guidelines." Nature Machine Intelligence 1 (2019): 389–399.    

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, and supplemented, if necessary, by other means of social protection.

International Convention on the Elimination of All Forms of Racial Discrimination(1965) #

G.A. Res. 2106 A (XX), International Convention on the Elimination of All Forms of Racial Discrimination, U.N. Doc. A/RES/2106 A(XX) (Dec. 21, 1965)

Article 5

(i) The rights to work, to free choice of employment, to just and favourable conditions of work, to protection against unemployment, to equal pay for equal work, to just and favourable remuneration;

International Covenant on Economic, Social and Cultural Rights(1966) #

G.A. Res. 2200A (XXI), International Covenant on Economic, Social and Cultural Rights, U.N. Doc. A/6316 (1966), 993 U.N.T.S. 3 (Dec. 16, 1966)

Article 7

The States Parties to the present Covenant recognize the right of everyone to the enjoyment of just and favourable conditions of work which ensure, in particular:

(a) Remuneration which provides all workers, as a minimum, with:

(i) Fair wages and equal remuneration for work of equal value without distinction of any kind, in particular women being guaranteed conditions of work not inferior to those enjoyed by men, with equal pay for equal work;

(ii) A decent living for themselves and their families in accordance with the provisions of the present Covenant;

Convention on the Elimination of All Forms of Discrimination Against Women(1979) #

G.A. Res. 34/180, Convention on the Elimination of All Forms of Discrimination Against Women, U.N. Doc. A/RES/34/180 (Dec. 18, 1979)

Article 11

1. States Parties shall take all appropriate measures to eliminate discrimination against women in the field of employment in order to ensure, on a basis of Equality

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of men and women, the same rights, in particular:

(d) The right to equal remuneration, including benefits, and to equal treatment in respect of work of equal value, as well as Equality

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of treatment in the Evaluation

Evaluation (commonly referred to as an “eval”) measures an AI model's performance on a specific set of benchmark tasks. Researchers use evals to assess their models' strengths and weaknesses by comparing the model's answers to the correct answers for each task, computing the accuracy, and identifying areas for improvement. However, researchers should heed Goodhart’s Law when optimizing performance on evals: using a measure as a target can render it ineffective. A model may excel at tasks in the dataset but fail to generalize across the domain, or hidden capabilities may go unnoticed if certain examples are excluded. To assess strengths and weaknesses, individuals and organizations should curate diverse evaluation datasets. As the old adage goes, “what gets measured gets managed.”

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of the quality of work;

2. In order to prevent discrimination against women on the grounds of marriage or maternity and to ensure their effective right to work, States Parties shall take appropriate measures: (a) To prohibit, subject to the imposition of sanctions, dismissal on the grounds of pregnancy or of maternity leave and discrimination in dismissals on the basis of marital status;

(b) To introduce maternity leave with pay or with comparable social benefits without loss of former employment, seniority or social allowances;

International Convention on the Protection of the Rights of All Migrant Workers(1990) #

G.A. Res. 45/158, International Convention on the Protection of the Rights of All Migrant Workers and Members of Their Families, U.N. Doc. A/RES/45/158 (Dec. 18, 1990)

Article 25

1. Migrant workers shall enjoy treatment not less favourable than that which applies to nationals of the State of employment in respect of remuneration and:

(a) Other conditions of work, that is to say, overtime, hours of work, weekly rest, holidays with pay, Safety

Safety in artificial intelligence (AI) refers to ensuring that AI systems function reliably and as intended, without causing harm to individuals, society, or the environment. Spanning the entire AI lifecycle—from design and development to deployment and operation—safety emphasizes proactive risk management to prevent malfunctions, misuse, or harmful outcomes. By prioritizing safety, developers can foster public trust and confidence in AI technologies, particularly in critical domains like healthcare, autonomous transportation, and public infrastructure. Ensuring AI safety involves key measures such as pre-deployment testing, continuous monitoring, and robust risk assessment frameworks. Developers must evaluate both anticipated and unforeseen risks, ensuring that AI systems behave predictably, even in novel or challenging scenarios. For example, machine learning systems that adapt to new data require ongoing scrutiny to prevent harmful or unintended behaviors. Embedding safety into the design process includes integrating safeguards like fail-safe mechanisms, fallback protocols, and human oversight to address vulnerabilities and align AI systems with societal values. However, achieving AI safety presents significant challenges. Advanced AI systems, particularly those using machine learning or neural networks, can exhibit unpredictable behaviors or face unforeseen applications. Additionally, the rapid pace of AI innovation often outstrips the development of safety regulations and standards. Addressing these challenges requires coordinated efforts among governments, private sector actors, and civil society to establish safety guidelines, enforce accountability, and promote public awareness. Collaborative approaches, such as developing international standards and sharing best practices, are essential for ensuring AI technologies serve humanity responsibly and safely. 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.  

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, health, termination of the employment relationship and any other conditions of work which, according to national law and practice, are covered by these terms;

Convention on the Rights of Persons with Disabilities(2006) #

G.A. Res. 61/106, Convention on the Rights of Persons with Disabilities, U.N. Doc. A/RES/61/106 (Dec. 13, 2006)

Article 27

States Parties recognize the right of persons with disabilities to work, on an equal basis with others; this includes the right to the opportunity to gain a living by work freely chosen or accepted in a labour market and work environment that is open, inclusive and accessible to persons with disabilities. States Parties shall safeguard and promote the realization of the right to work, including for those who acquire a disability during the course of employment, by taking appropriate steps, including through legislation, to, inter alia:

(b) Protect the rights of persons with disabilities, on an equal basis with others, to just and favourable conditions of work, including equal opportunities and equal remuneration for work of equal value, safe and healthy working conditions, including protection from harassment, and the redress of grievances;