Privacy and New Technologies
summary
Council of Europe committees draft concrete guidelines: LLM risk framework covering model development, deployment, user interaction, autonomous agents and recommending DPIAs, privacy by design and PETs like federated learning, differential privacy and homomorphic encryption; regulators cite cases—Italian fine over Replica and a German journalist harmed—and researchers demonstrate surprising effects: a Stanford agent reproduces 175 survey answers after a two‑hour interview of 10,000 people, Walmart boosts recommendations by 43% and 38%, and a robot learns folding from 100 examples.
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chapters (8)
- 0:00Privacy and new tech intro
- 1:45Privacy standards evolution
- 15:55Neurotech and AI at Microsoft
- 25:48LLMs and privacy risks
- 39:28Brain data privacy challenges
- 51:32OpenAI’s privacy approach
- 1:07:11AI regulation recommendations
- 1:17:08Closing remarks
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