Responsible AI Practices
Learn responsible AI practices with Google's data ethics course. Explore fairness, privacy, and accountability in AI development.
More resources on Data Ethics
Partnership on AI
Nonprofit consortium of AI companies, civil society groups, and academic institutions publishing research, case studies, and practical guidance on issues such as synthetic media, algorithmic fairness, and worker wellbeing in AI deployment.
Ethics of Data Science
Explore data ethics principles and responsible innovation with this University of Edinburgh course. Build a foundation for ethical data science.
Ethics Guidelines for Trustworthy AI
The European Commission high-level expert group document setting out seven requirements for trustworthy AI, including human oversight, robustness, and transparency, plus an assessment checklist teams can apply to their own systems.
Ethics of AI
Explore the Ethics of AI with this free online course from the University of Helsinki. Learn data ethics and responsible AI development.
Artificial Intelligence: Ethics & Societal Challenges
Four-week Lund University course covering algorithmic bias, AI-enabled surveillance, AI's effects on democracy, machine consciousness, responsibility for autonomous systems and the control problem, with peer-reviewed reflections so learners can reason about the ethical and societal consequences of AI.
Data & Society
Presenting timely conversations about the purpose and power of technology that bridge our interdisciplinary research with broader public conversations about the societal implications of data and automation. For more information, visit datasociety.net.