Special Topics

Privacy, IP, biometrics, compute, sectors — the frontier and the edges

• Privacy and Data Protection Law for AI: GDPR from Scratch — The data protection law every AI governance framework silently assumes you know: GDPR lawful bases, controller and processor roles, data-subject rights, Article 22 automated decision-making, DPIAs, international transfers — plus the EDPB’s AI rulings and the American answer in CCPA/CPRA and California’s ADMT regulations. (6 lessons, 60 min)
• AI and Intellectual Property: Training Data, Outputs, and the Litigation Wave — The copyright wars over training data — NYT v. OpenAI, Thomson Reuters v. Ross, Getty v. Stability — plus fair use factor by factor, the EU/Japan/UK text-and-data-mining exceptions, who owns AI outputs after Thaler, voice and likeness rights after the ELVIS Act, and the collision between trade secrets and transparency mandates. (5 lessons, 60 min)
• Biometric Surveillance, Law Enforcement AI, and Protecting Children — Facial recognition in policing and its wrongful-arrest record, predictive policing and border AI, the BIPA litigation machine, and the fast-hardening law of children online: age assurance, design codes, companion chatbots, and CSAM/NCII regimes. (5 lessons, 60 min)
• Sector by Sector: Health, Employment, Finance, Education, and Vehicles — How five regulated sectors actually govern AI: FDA clearances and the MDR interplay in healthcare, algorithmic management and the Platform Work Directive at work, SR 11-7 and insurance rules in finance, proctoring and UNESCO guidance in education, and the UNECE/NHTSA split on automated vehicles. (5 lessons, 60 min)
• Compute Governance, Export Controls, and the Science of AI Safety — Why chips became the chokepoint of AI policy: the US–China export-control arc from October 2022 to the Diffusion Rule and its rescission, compute thresholds as legal triggers, cloud KYC, and data-center politics — then the safety science a governance expert must be able to interrogate: alignment, dangerous-capability evals and their limits, interpretability, and safety cases. (5 lessons, 60 min)
• AI, Elections, Labor, Competition, and the Planet — The societal frontiers where AI governance is being invented case by case: synthetic media and election law, algorithmic collusion and foundation-model antitrust, algorithmic management and labor policy, the environmental governance of compute, business-and-human-rights due diligence, and the military AI debate. (5 lessons, 60 min)