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ai security
Protecting Privacy in an AI Era
Daniel Solove argues that individual data control is insufficient for privacy protection in the age of AI, and proposes regulatory approaches including data minimization, company fiduciary duties, liability for negligent design, and independent technology review modeled after pharmaceutical regulation.
Why it matters: Organizations and regulators need to understand emerging accountability frameworks that could reshape data handling obligations and AI deployment requirements.
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ai security
Protecting Privacy in an AI Era
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
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Correction
Correction recorded as of .
ai security
Protecting Privacy in an AI Era
Daniel Solove argues in the Wall Street Journal that individual control of personal data is insufficient for privacy regulation in the artificial intelligence (AI) era. Instead, he proposes holding companies accountable through data minimization, fiduciary duties, liability for negligent design and harmful algorithms, and multi-stakeholder technology review. This approach parallels regulatory models used for food and drug companies.
Why it matters: Organizations handling personal data need to understand that regulatory pressure is shifting from individual consent models to corporate accountability and algorithmic liability, affecting how they design systems and manage risk.
- Source published
- First seen by Cybersecurity Tracker