Learn More About AI Ethics & Equity
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems provides a certification around AI ethics.
Microsoft's Fairlearn provides resources to help individuals think about fairness as “sociotechnical” and to think about the broader societal context when developing and using AI systems.
DARPA's Explainable AI Program details the need for more AI systems that are accountable and explainable (XAI) to enable the users to know they are receiving reliable, trustworthy information.
AI Governance: A Holistic Approach to Implement Ethics into AI is a paper about the importance of applying AI principles and values when developing AI systems and machines to develop a “human - centric AI society.”
The Partnership on AI focuses on inclusivity and bringing diverse voices together, and it looks at AI influences on media and society.
The Responsible AI Practices by Google outlines their AI principles where they mention the importance of not being socially biased.
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