Ideas for making AI
worthy of trust.
Practical perspectives on the issues shaping Responsible AI, AI governance, financial services, standards, and public policy.
Ideas that shape how AI is governed.
Practical perspectives on AI governance, responsible innovation, financial services, regulation, standards and public policy.
Cognitive Governance for Persistent AI Agents
Governance for AI that acts.
AI agents can pursue goals, coordinate work, and make consequential decisions across systems and time. As information and circumstances change, their authority needs to remain clear.
Cognitive Governance is a proposed approach that connects an agent’s beliefs, goals, and intended actions to enforceable permissions—and tests whether those controls actually govern what happens.
DecisionX is exploring how verifiable cognition, based in Scorched Earth Labs’ AI State Tree Protocol, can support this approach through an inspectable record of how agent state evolves.
The Moral Imperative of Artificial Intelligence
Governance, Trust, and Long-Term Institutional Credibility in the Age of Algorithmic Decision-Making.
Eric Lapin & Brian Stucky
What If Regulation Made AI Better?
Rethinking the Innovation Myth
Brian Stucky · Cognitive World