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AI Privacy

AI privacy concerns are growing as copyrighted works and personal data are used to train, optimize and operate machine learning systems. From facial recognition to inference risks, AI applications often test the limits of existing privacy laws. Regulators worldwide are developing safeguards to govern data use, bias, transparency and consent in AI development. This page tracks legislation, regulatory frameworks and enforcement actions at the intersection of AI and data protection.

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Term list: Separate terms with spaces, not commas or semicolons.

Multi-word term: Place inside quotes to ensure an exact match (e.g. "China import").

Acronyms: Use all capital letters to ensure the search is not looking for that letter sequence instead.

Required term: If a term must be included in any resulting articles, prefix it with a plus sign (e.g., +CBP).

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