Projects

A consortium of technology companies and organizations dedicated to promoting responsible AI practices, focusing on areas such as media integrity, labor, fairness, transparency, accountability, and safety-critical AI.

An institute at New York University conducting interdisciplinary research on the social implications of artificial intelligence, addressing themes like bias, inclusion, labor, automation, rights, liberties, and safety.

A research unit within DeepMind focusing on funding external research on themes such as privacy, transparency, fairness, economic impacts, governance, accountability, managing AI risk, and AI morality.

An organization that combines art and research to illuminate the social implications and harms of AI, focusing on issues like bias in facial recognition and speech recognition technologies.

The first global standard on the ethics of AI, outlining principles such as proportionality, do no harm, safety, security, right to privacy, data protection, and multi-stakeholder governance.

An institute promoting AI ethics as a distinct field, focusing on the ethical implications of AI technologies and fostering interdisciplinary research to address these challenges.