The rapid advancement of artificial intelligence (AI), particularly through large language models (LLMs) and chatbots, has introduced significant privacy concerns. Questions arise regarding the use of personal information in AI training data, the sharing of user prompts with law enforcement, and the potential for chatbots to link various aspects of individuals' online lives.
In response to these challenges, Jennifer King, a privacy and data policy fellow at Stanford University's Institute for Human-Centered Artificial Intelligence, and Caroline Meinhardt, the policy research manager at Stanford HAI, collaborated on a white paper: Rethinking Privacy in the AI Era: Policy Provocations for a Data-Centric World. The paper outlines that AI systems pose many of the same risks we've been dealing with in privacy over the last 20 years of internet use and unrestrained data collection. The difference is the scale in which AI systems consume data.
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