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Protecting Privacy in an AI Era

Daniel Solove argues in the Wall Street Journal that giving individuals control over their personal data is ineffective for privacy regulation in the AI era, advocating instead for holding companies accountable through measures like data minimization, fiduciary duties, and liability for harmful algorithms.

read1 min views1 publishedJul 16, 2026

Protecting Privacy in an AI Era #

Daniel Solove argues in the Wall Street Journal (alternate link) that giving people control of their personal data is not an effective way to regulate privacy in this era. Instead, we need to hold companies accountable for their actions, similar to what we do with food and drug companies. Measures such as rigorous data minimization, fiduciary duties, liability for negligent or reckless technological design, liability for algorithms that cause harm, and multi-stakeholder review of technologies will be far more effective.

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