🟡 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.
Security Architect’s Take: Cloud security architects should treat this as a signal to move beyond checkbox consent mechanisms and instead embed data minimisation, algorithmic impact assessments, and documented accountability frameworks into AI system design now — ahead of likely regulatory change in the UK and EU.
Original advisory: Protecting Privacy in an AI Era