The Other AI is about Augmented Intelligence and AI Governance, which means it is also about every other governance failure that looks like AI but is not. This briefing is one of those.

In January 2026, four credentialed expert witnesses testified before the U.S. Senate Commerce Committee on the impact of technology in classrooms. Did their oral testimonies match their own published cognitive research?

This briefing covers Basil C. Puglisi's white paper, "The Horvath Case Study: Method Governance and Consensus Drift." Four expert witnesses (Dr. Jared Cooney Horvath, Jean Twenge, Emily Cherkin, and Jenny Radesky) produced contradictory positions across audiences that reached the legislative record selectively. The artificial expert consensus produced in one hearing room is now shaping state policy, with Missouri House Bill 2230 as the documented case and federal legislation including the Kids Off Social Media Act following the same pattern.

The governance question this briefing surfaces: when credentialed experts deliver a unified position that contradicts their own published research, what mechanism catches it? The cognitive science field did not. The Senate hearing record did not. The legislative record did not. The same failure mode applies to AI deployment when credentialed actors make claims that outpace the evidence and the institutions tasked with verification do not verify.

Key topics:

The Four-Artifact Drift. A forensic look at how Dr. Horvath's stance shifted across his book, a podcast, his written testimony, and his viral oral testimony, where he abandoned his own methods-governance concessions in favor of an unhedged ultimatum rooted in biological-mechanism framing.

The Witness Drift Map. A comparison of the published research of witnesses Twenge, Cherkin, and Radesky against the binary device-removal consensus they delivered together in the hearing room.

The WEIRD Bias. How the 2010 drop in global standardized test scores aligns with the 2010 WEIRD bias critique, suggesting the data used to justify restricting technology may be a measurement artifact of culturally biased testing instruments.

Method Governance. Why cognitive science indicates that method governance, a structured approach requiring active cognitive demand, outcome evidence, and named human accountability, is the actual answer to classroom tech deployment rather than binary bans. The same principle applies to AI deployment.

Read the original white paper and view the full artifact analysis: https://basilpuglisi.com/how-credentialed-testimony-outpaces-research-horvath-case-study/

Disclaimer: This audio briefing was generated by NotebookLM as an AI-produced overview based on the full white paper. The underlying paper is human-authored with AI assistance (#AIassisted) and is the canonical source. Verify quotes and analytical positions against the canonical paper at the link above.