AI Privacy Regulation: Accountability Over Consent
🟡 Medium | Source: Schneier on Security Legal scholar Daniel Solove argues that individual consent-based privacy frameworks are inadequate for the AI era, and that regulatory focus should shift to holding companies directly accountable for how they use data. He proposes measures including data minimisation obligations, algorithmic liability, fiduciary duties, and multi-stakeholder technology reviews — drawing parallels with food and drug safety regulation. This represents a significant shift in privacy regulatory thinking with implications for how organisations design and deploy AI systems. ...