Rethinking Privacy in the AI Era

2024

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AI-generated summary

1) This white paper examines how existing and future data privacy laws fail to adequately address the massive data demands and societal risks posed by artificial intelligence, offering strategic policy solutions to balance AI innovation with human privacy rights.

2)
- Analysis of current data protection frameworks (like GDPR and US state laws) and their limitations in regulating AI training data and automated decision-making.
- Examination of unique individual and societal privacy risks, including data scraping, surveillance, and systemic biases.
- Three practical policy suggestions: denormalizing default data collection, regulating the AI data supply chain, and establishing data intermediaries.

3) Tags: Artificial Intelligence, Data Privacy, AI Governance, Data Protection, Regulation

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