The Role of Research and Researchers in AI Governance
summary
Panel reports concrete wins and limits: research helped write DSA data access requests, launched a request to Microsoft after internal tests find 30% misleading outputs on election prompts, and earlier audits show ad libraries missing half of political ads in Brazil 2018. Discussion names the real work needed — vetted access via national DSCs, a pending delegated act, massive infrastructure and new measurement methods, multidisciplinary teams, and funding — so expect legal detail, case numbers, and tactics, not high‑level theory.
AI-written summary · about
chapters (10)
- 0:00AI governance and researcher roles
- 7:06Evidence for policy
- 16:54Panelist perspectives
- 25:43Researchers vs Big Tech
- 35:08Researcher role limits
- 45:25Academia in governance
- 57:10Academia talent drain
- 1:03:05Open AI model data
- 1:09:02Policy-engaged research
- 1:17:17Q&A
related talks
01h 13mTowards a Safe Harbour for Public Interest AI Research
25mPanel: Ethics and Regulations in AI Governance
01h 11mSupervising the Mass Adoption of Algorithmic Technologies
01h 12mOut of Alignment Conflicting Trends in the Governance of Advanced Artificial ..
01h 08mTHE GOVERNANCE OF AI: CONVERGENCE OR DIVERGENCE?
01h 09mGOVERNANCE AND REGULATION OF AI FROM THE PERSPECTIVE OF AUTONOMY AND PRIVACY
01h 08mWHOSE DIGITAL FUTURE? ENGAGING CITIZENS IN AI DEVELOPMENT AND IMPACT ASSESSMENT
01h 08mAI Act in Action Compliance, Oversight, and Enforcement