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Daily Dashboard | Tene: Concerns Over ID Protection Overlook Dangers of Inference Related reading: Update to Key Terms for AI Governance



In a piece for Yale Journal of Law & Technology, IAPP VP of Research and Education Omer Tene discusses the debate surrounding de-identification. The discussion thus far has generally focused on protecting identity, but that’s distracted policymakers from a central privacy problem in this age of big data, “the ability of organizations to draw highly sensitive conclusions about you without exposing your identity, by mining information about ‘people like you,’” Tene writes. As such, the main privacy issue isn’t identity, but inference, because even without identification, “machine-made inferences pose risks to societal values of privacy, fairness and equality.”
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