World Economic Forum – AI Ethics Guide
A comprehensive handbook outlining key ethical frameworks, global initiatives, and best‑practice guidelines for responsible AI.
Curated AI Ethics Resources
Recent AI Ethics Papers on arXiv
A constantly updated list of preprints that tackle bias, fairness, transparency, and accountability in machine learning.
“AI Ethics” by Mark Coeckelbergh
Philosophical exploration of the moral status of intelligent agents and the societal impact of autonomous systems.
edX: AI Ethics – Principles & Practices
Free online course covering legal, technical, and ethical issues in AI. Includes real‑world case studies.
NIST AI Ethics Framework
Government‑backed framework providing actionable checkpoints for safety, reliability, and fairness.
OHCHR AI Ethics Toolkit
Human‑rights‑based toolkit for assessing AI systems and mitigating potential harms.
AI Ethics Community Hub
Global network of researchers, practitioners, and policymakers sharing insights and organising workshops.
Looking for more? Explore our Data Privacy resources or ML Ethics deep dive.