Track D

AI Risk, Policy & Leadership

Lead your team's AI adoption

5 modules · 22 lessons · ~2h 44m

For anyone responsible for AI adoption at their organization. Build policy, manage risk, roll out responsibly.

Module 1: The Case for AI in Grant Work

D1-01 Precision, Not Prohibition 6 min D1-02 We Need the Most Mission-Driven People Competent With These Tools 5 min D1-03 What Your Peers Are Already Doing 3 min D1-04 The Landscape Is Shifting 4 min

Module 2: Understanding AI Risks

D2-01 Hallucination — When AI Gets It Wrong 6 min D2-02 Data Privacy — Recalibrating the Real Risks 6 min D2-03 Bias in AI Output — And How Quickly You Can Fix It 5 min D2-04 Funder Perception — AI as Lens, Not Line 5 min D2-05 The Difference Between Safe Providers and Unsafe Ones 3 min

Module 3: The MVP Policy Framework

D3-01 Component 1 — Know Who Built It 6 min D3-02 Component 2 — Be Thoughtful With Sensitive Data 4 min D3-03 Component 3 — Build a Review System That Scales 5 min D3-04 Component 4 — Share Learnings With Your Team 3 min D3-05 Putting It Together — Policy as a Living Practice 6 min

Module 4: Rolling Out AI at Your Organization

D4-01 The Science Fair Model — A Low-Stakes Way to Start 5 min D4-02 The Risk Spectrum — Four Dimensions That Matter 5 min D4-03 Starting Small — Editing and Research First 4 min D4-04 Scaling Up — First Drafts and Prospecting 4 min

Module 5: Leading AI-Native Teams

D5-01 Building a Culture of Responsible AI Use 6 min D5-02 Training Staff Who Are Skeptical or Scared 5 min D5-03 Measuring AI Impact — What to Track 4 min D5-04 When AI Goes Wrong — Incident Response 4 min

Certificate

AI Risk & Policy for Grant Organizations

Complete all lessons and pass the certification quiz to earn your certificate and share it on LinkedIn.