Transforming GDPR into a Risk Based Harm Tool Alongside Specific AI Regulation...
summary
Panel argues specific pathways to make the GDPR a practical partner to the AI Act: use Article 25 and DPIAs more preventively, map AI Act risk (probability × severity) onto GDPR rights, and pursue layered rules that regulate computing and code reuse rather than only labelled personal data. Examples include an Austrian DPA refusing action absent a breach, active DPAs investigating ChatGPT, and literature showing the DMA can improve ML fairness. Discussion pushes for group rights and collective responsibilities plus better enforcement capacity.
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chapters (9)
- 0:00GDPR and AI regulation panel
- 1:25Panelists introduction
- 4:39Legal interoperability challenges
- 13:45Reevaluating data categories
- 26:32Limitations of risk-based approaches
- 35:09Synergies between GDPR and AI Act
- 44:24Universal data processing principles
- 55:20Collective rights in data chains
- 1:03:32Closing remarks and Q&A
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