Responsible AI & Governance
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10 lessons3 levels1 capstone project
Operationalize trustworthy AI through governance, risk classification, accountability, fairness, transparency, privacy, safety, human oversight, documentation, evaluation, and lifecycle controls.
BASIC
- NIST AI Risk Management Framework Explained — IBM Technology (10 min)
Practical overview of Govern, Map, Measure, and Manage for trustworthy AI. - How Microsoft Drives Responsible AI — Microsoft (15 min selected)
See responsible-AI principles translated into organizational practices and controls. - Our Approach to Responsible AI Hands-On Video — Microsoft (10 min selected Time)
Concise principles-and- governance view for product teams. Build / Practice
INTERMEDIATE
- Social Simulacra / Populated Product Prototypes — ACM SIGCHI
Apply Responsible AI & Governance through the adjacent capability: AI-Enabled Product Optimization. - Go to Market Strategy by Microsoft Product Leader — Product School
Apply Responsible AI & Governance through the adjacent capability: Go-to-Market & Product Launch. - Go-To- Market Strategy & Product Launch Plan — Full Course
Apply Responsible AI & Governance through the adjacent capability: Go-to-Market & Product Launch.
ADVANCED
- DCF Valuation Lab — Aswath Damodaran
Extend Responsible AI & Governance into senior/production practice through Financial Modeling, Business Cases & Unit Economics. - How to Build a Go-To- Market Plan
Extend Responsible AI & Governance into senior/production practice through Go-to-Market & Product Launch. - Product Launch Strategy
Extend Responsible AI & Governance into senior/production practice through Go-to-Market & Product Launch.