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eXplainable AI (XAI)

eXplainable AI (XAI) are AI systems that provide clear, understandable insights into how they reach decisions or predictions. XAI is critical in addressing ethical concerns about transparency, accountability, and trust in AI systems, especially in high-stakes areas like healthcare and law enforcement.


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.

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Dr. Nathan C. Walker
Principal Investigator, AI Ethics Lab

Rutgers University-Camden
College of Arts and Sciences
Department of Philosophy & Religion
429 Cooper Street
Camden, NJ 08102

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