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sociable systems.
AI-ESG practitioner track

ESG Data Integrity: Escaping the Liability Sponge

A practical course for ESG, safeguards, risk, and compliance teams who need to govern AI systems where decisions touch people, evidence, contracts, and operational accountability.

What is inside

A full practitioner track, not a policy explainer.

The course turns AI governance into concrete operating judgment: where to pause, what evidence to ask for, how to read vendor claims, and how to keep human review from becoming blame absorption.

  1. Level 1Constitutional foundations for AI governance
  2. Level 2Epistemic failure, accuracy theater, and liability sponges
  3. Level 3Compliance architecture and refusal points
  4. Level 4Lucas, Pullman, and Kubrick cycles for institutional risk
  5. Level 5Forensic domains, capstone audit defense, and implementation templates
  6. Level 6Challenge engines for partnership skills and continuous governance

Built from field-facing social-risk and safeguards practice, not generic AI policy.

Includes course levels, facilitator materials, governance templates, and capstone exercises.

Designed for teams who must translate AI risk into procurement, reporting, and operating controls.