Build judgment before the consequential decision.

The Board Director’s Guide to Responsible AI Governance

Begin with a system inventory and business purpose. Ask who is accountable, which decisions are reserved, how risk appetite is expressed and what evidence would change the board’s decision.

The Responsible AI Oversight Checklist

For each material system: name the owner; identify affected people; classify risk; document authority; review fairness, privacy and security evidence; test escalation; assign remediation; schedule review.

Governing Autonomous AI Agents

Specify action boundaries, financial and data limits, approval triggers and revocation. Test denied actions, retries and delegation. Require a receipt linking the decision, policy version and observed outcome.

Responsible AI Evidence and Assurance

Separate source facts, participant attestations, calculations and independent conclusions. Ask about sampling, freshness, reviewer independence and scope. An evidence link alone does not establish assurance.

Responsible AI Governance in the Agentic Enterprise

Review interconnected agents and third-party dependencies as a system. Stress-test authority propagation, correlated failures and business continuity. Give executives clear escalation responsibilities.

Markdown representation

The same educational content in machine-readable form. /responsible-ai/board-education.md

Alpha Evals

Explore existing readiness and independent evaluation pathways. https://evals.alpha.ac/

Developer documentation

Discover existing governed API and MCP services. https://docs.alpha.ac/