privacy
5 free lessons tagged privacy across AI, Business, Law & Compliance. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Privacy Attacks, Real Guarantees, and Open Models
What model updates actually leak, the two mechanisms that turn data minimisation into a quantified guarantee, poisoning by malicious clients, and what the Apertus project shows about openness at the other end of the spectrum.
Training on Data You Are Not Allowed to See
The federated setting: why hospitals, phones, and banks cannot pool their data, what changes when the training loop crosses a network, and the FedAvg algorithm that made the idea practical.
Did the ad even work? The attribution problem
Half the money spent on advertising is wasted; the trouble is knowing which half. Learn why measuring whether an ad caused a sale is genuinely hard, why last-click attribution flatters the wrong channels, how privacy changes broke the tracking that measurement relied on, and the three-part toolkit that replaced it: incrementality, media-mix modeling, and privacy-preserving reporting.
Data Protection Under the EU GDPR and the Revised Swiss FADP
Learn how the EU GDPR and the revised Swiss Federal Act on Data Protection actually work: who they bind, when they apply across borders, the lawful bases and rights they create, and how enforcement and sanctions differ between the two regimes.
Open Weights vs Closed APIs: The Real Tradeoffs
An honest look at the open-weights vs closed-API choice for LLMs in 2026 — covering data privacy, cost at scale, fine-tuning, latency, regulatory concerns, and the gap in raw capability per dollar.