Navigating regulatory complexities Enforcing data protection in the field of AI
summary
Panel documents concrete enforcement practices: audits of the French Parkour soup admissions algorithm that triggered joint guidance with the Defender of Rights, hands‑on chatbot testing by downloading apps and scoring outputs, routine use of DPIAs to surface bias, experiments with joint supervisory visits and regulatory sandboxes, and reliance on AI Act hooks like article 77 and 79 plus CJEU precedent to formalize cross‑regulator evidence sharing and timebound cooperation.
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chapters (7)
- 0:00Regulatory challenges in AI data protection
- 10:16Algorithmic discrimination in education
- 23:25Non-discrimination law for AI systems
- 34:03Regulator cooperation
- 55:20AI deployers: discrimination risks
- 1:07:05AI-GDPR interplay guidelines
- 1:13:53Closing remarks & Q&A
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