AI Ethics & Governance
Governance is not a checklist. This track covers the frameworks, auditing practices, and accountability structures that make AI deployable responsibly — across nonprofits, education, financial services, legal, and insurance contexts. Includes bias evaluation methods, explainability requirements, and the emerging regulatory landscape.
Courses
Recommended courses
Responsible AI: Applying AI Principles with Google Cloud
Google Cloud's course on responsible AI in practice — issue spotting, fairness assessments, and applying AI principles to real systems. Directly relevant for compliance and risk teams in regulated industries implementing AI governance programs.
Coursera / Google Cloud
Human-Centered Generative AI
Stanford HAI's course on developing and deploying generative AI that serves all stakeholders — covering ethical design, impact assessment, and governance strategies. Written for leaders who set AI policy, not just those who implement it.
Stanford Online
AI: Law, Policy, and Governance
LSE's executive certificate course on AI regulation — covering EU AI Act, US policy frameworks, and governance mechanisms across the UK, China, and EU. Designed for executives and policymakers navigating the legal landscape of AI deployment.
edX / London School of Economics
Books
Essential reading
Human Compatible: Artificial Intelligence and the Problem of Control
Berkeley AI pioneer Stuart Russell's case for rebuilding AI on uncertainty-aware foundations. The definitive text on AI alignment for technical and executive leaders who need to understand why AI safety is a systems design problem, not a guardrail problem.
Stuart Russell
Power and Prediction: The Disruptive Economics of Artificial Intelligence
The Rotman economists' follow-up to Prediction Machines — analyzing how AI shifts power structures and decision rights within organizations. Essential reading for executives in regulated industries who are designing AI governance and approval workflows.
Ajay Agrawal, Joshua Gans, Avi Goldfarb
Weapons of Math Destruction
Cathy O'Neil's landmark analysis of how biased algorithms damage lives in credit, insurance, education, and criminal justice. The most cited text for risk and compliance professionals building safeguards around AI-driven decisions in regulated industries.
Cathy O'Neil
Videos
Watch and learn
AI Governance: Oxford Martin School Lectures
Oxford Martin School's lecture series on AI governance, policy, and long-term implications — featuring leading researchers in AI safety, international regulation, and ethics. Authoritative academic perspective for executives shaping organizational AI policy.
Responsible AI for Developers Series
Google's developer-focused series on responsible AI — covering fairness, bias mitigation, privacy, safety, and evaluation frameworks. Practical and code-level; relevant for engineering teams implementing governance controls in AI systems.
The Moral Machine Experiment
MIT's examination of how different cultures approach moral decisions in autonomous systems — the foundational dataset behind AI ethics research. Relevant for governance leaders designing human-oversight frameworks for consequential AI decisions.
QM Signal
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Tools worth knowing
IBM OpenScale (Watson OpenScale / IBM OpenPages)
IBM's AI governance platform covering model risk management, fairness monitoring, explainability, and regulatory compliance for enterprise AI deployments. Designed for regulated-industry organizations managing large portfolios of AI models under examiner scrutiny.
Model Cards Toolkit (Google)
Google's open-source toolkit for generating model cards — standardized documentation of AI model behavior, limitations, and intended uses. Increasingly required by enterprise procurement and regulatory bodies evaluating AI systems in regulated industries.
Fairlearn
Microsoft's open-source toolkit for assessing and improving fairness in machine learning models — providing metrics, visualizations, and mitigation algorithms. Essential for AI governance teams that must demonstrate model fairness to regulators in lending, hiring, and insurance.
For Educators
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