AI inference attacks pose new data privacy risks
AI inference attacks are emerging as a distinct category of privacy risk, where models can deduce sensitive personal information that was never directly shared or collected.
Why this matters: Most privacy rules are built around data you actually give someone. Inference attacks break that model. An AI can watch patterns, combine signals, and figure out things about you that you never disclosed. That means the usual protections, consent, deletion rights, data minimization, may not be enough. The data used against you was never technically yours to protect. That is a gap most current privacy law has not caught up to.
Who should care: General readers · AI governance · Policy · Privacy officers
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