Theme · 8 episode(s)

AI Governance

← all concepts

Definition

AI governance is the policy, legal, and institutional machinery that decides how AI gets developed, deployed, and audited — from internal lab policies to national regulation and international coordination. It’s where technical risks meet political and economic constraints.

Episodes covering this

  1. 260
    One Line of Lean Faked 34 Proofs, and 99 Agents Copied It
    A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
    Paglieri, Cross, Genewein et al. · Google DeepMind·25 min·Sep 05, 2026
  2. 239
    Why the AI-Writing Estimate for Biomedical Papers Jumped From 15% to 89%
    Most biomedical publications show signs of LLM-assisted writing
    Holzwarth, González-Márquez, Kobak · Hertie Institute for AI in Brain Health·16 min·Aug 12, 2026
  3. 228
    Same Chatbot, Two Doors: Why 'Grok's Opinion' Doesn't Exist
    Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science
    Scarsoa, Almeidaab, Pinaac · Applied Social Sciences Department | NOVA School of Science and Technology - Universidade NOVA de Lisboa·16 min·Jul 27, 2026
  4. 223
    When Grok Graded Its Own Encyclopedia And Marked Itself Down
    Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies
    Vlahos, Bied, Bie · Ghent University·18 min·Jul 20, 2026
  5. 218
    When Universities Say Embrace AI But Half the CS Syllabi Ban It
    A Comparative Analysis of Institutional and Course Generative AI Policies within Higher Education: Implications for Instruction in Computing Education
    Ganguly, Johri, McDonald et al. · George Mason University·14 min·Jul 15, 2026
  6. 201
    One in Four NeurIPS Papers Cites a Reference That Doesn't Exist
    Phantom References: Hallucinated Citations That Survive Peer Review at Top-Tier Conferences
    Russinovich, Kumar, Salem · Microsoft·19 min·Jul 06, 2026
  7. 145
    Building Forgetting Into a Language Model With One Extra Line of Code
    Natively Unlearnable Large Language Models
    Ghosal, Maini, Raghunathan · Carnegie Mellon University·22 min·Jun 15, 2026
  8. 015
    The Audit Number Isn't What You Think: Sycophancy and the Case Against Single-Prompt Bias Tests
    Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor
    Törnberg, Schimmel · Institute of Logic·21 min·May 03, 2026