The technology industry has spent three years warning the world about AI hallucination, the phenomenon where artificial intelligence fabricates facts, invents citations, and generates confident nonsense. That warning is valid, and AI hallucination is real, documented, and dangerous when undetected. But it is not the most dangerous data problem in public discourse right now. The […]
WEIRD bias
Open Letter to the White House on the National AI Framework
From Basil C. Puglisi, MPAHuman-AI Collaboration Strategist | basilpuglisi.com March 21, 2026 To the Office of Science and Technology Policy, the National Economic Council, and the Members of the 119th Congress Receiving These Recommendations: The White House Legislative Recommendations for Artificial Intelligence establish seven pillars that identify the right priorities: a single federal standard instead […]
HAIA-RECCLIN: Reasoning and Dispatch
Nine AI platforms reviewed the same paper and eight agreed. Agreement proved nothing, because platforms trained on the same data carry the same blind spots. HAIA-RECCLIN is the ten-field format that makes any platform cite its sources and hand the decision back, and the dispatch method that assigns seven roles by proven strength.
Training AI for Humanity:
Building the First Contact Team for Superintelligence Before the Window Closes (PDF Here) Abstract The people training artificial intelligence today are building the cognitive foundation for whatever comes next. If superintelligence emerges from systems whose value structures correlate with 12% of humanity and diverge from the rest (Atari et al., 2023; Henrich et al., 2010), […]
A Governance Specification for AI Value Formation
No Single Mind Should Govern What AI Believes (PDF) Summary: Are we building AI for humanity, or are we building AI for dominance? We need the answer to that question so we know where we stand. On the same day the Wall Street Journal profiled the single philosopher shaping Claude’s values, Anthropic’s safeguards research lead […]