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Vol. I · No. 174 · 1386 Reports Wednesday, June 24, 2026
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DeSaulnier Raises AI Cognitive Risks for Youth in House Hearing

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Topics in This Edition

AI regulationyouth mental healthhigher education

Summary

The clip shows Rep. Mark DeSaulnier (D-CA) in a House Education and Workforce Higher Education Subcommittee hearing questioning witness Dr. Burns on AI's effects on children's cognitive and behavioral development. He links it to social media research, references a meeting with authors of The AI Con, proposes warning labels akin to tobacco, cites Stanford experts, and recounts a YouTube algorithm case involving teen girls and suicidal ideation. Dr. Burns agrees on the need for more federal, multi-institutional research and notes missing AI provider input. The segment aired via Forbes Breaking News from a June 2026 hearing.

Editorial Assessment

Claims about recent UC faculty calls to reinstate standardized testing due to unprepared students align with June 2026 reporting and petitions. The AI Con exists as a 2025 critique of AI hype. Broader concerns over AI algorithms and youth mental health echo ongoing studies and litigation on social media harms, though the exact 30% statistic and specific DeSaulnier AI warning bill were not corroborated in detail. Viewer misses balanced discussion of AI educational benefits or existing industry safeguards. Framing prioritizes caution and 'first do no harm' without equivalent exploration of innovation tradeoffs or current research timelines.

Key Moments

verified

UC recently discussing reestablishing standardized testing due to unprepared students

June 2026 faculty open letter (1,400+ signers) and Academic Senate deliberations cite math deficiencies post-test-blind policy

verified

Meeting with authors of The AI Con on AI marketing parallels to social media

Book by Emily M. Bender and Alex Hanna published 2025 critiquing AI hype and Big Tech practices

missing context

Bill for AI warning labels like tobacco/liquor for parents and kids

DeSaulnier has sponsored education and mental health bills; no matching AI-specific warning label legislation identified

missing context

YouTube algorithms targeted girls leading to 30% suicidal ideation/depression and suicide content

Social media algorithm harms documented in studies and 2026 lawsuits; exact 30% figure not confirmed in primary sources

Notable Concerns

  • Specific 30% suicidal ideation claim and exact bill details unverified in public records

Sources Consulted

  1. UC to consider reinstating SAT, ACT tests after faculty say students are deficient in math
  2. The AI Con: How to Fight Big Tech's Hype and Create the Future We Want
  3. Rep. DeSaulnier Outlines Concerns about the Impact of AI on Mental Health in Higher Education
  4. Young Woman Targeted By Addictive Social Media Posts Blames Algorithm For Health Crisis
  5. Meta and YouTube found liable in social media addiction trial
  6. HELP Ranking Member DeSaulnier Remarks on Artificial Intelligence in the Workplace