> …the risk associated with sharing data with tech companies is roughly the same as it always was. Almost any data sent to a company’s servers could be potentially accessible by employees, government agencies, lawyers or criminals who have obtained data through loopholes and security breaches.
> But the intimate nature of conversations with a chatbot adds a new twist to an old problem: People are sharing much more than they once did. Unlike a traditional web search tool, chatbots invite people to type complete thoughts and follow-up questions, revealing their intentions much more explicitly.
> “The issues are, in many cases, the same, but it’s a way of interacting with technology that previously hadn’t been done,” said Chris Gilliard, an independent privacy scholar in Detroit. “When that happens, people need to be rewired in terms of understanding what the threats and harms are.”
> It’s a lesson that internet users have had to learn and relearn. About eight years ago, Meta, formerly known as Facebook, came under fire when news broke that Cambridge Analytica, a political consulting firm, had inappropriately hoovered up the data of 87 million Facebook users.
InternationalToe3371 on
Honestly AI didn’t create new privacy risks, it just scales the old ones.
Data was always being collected. Now it’s being analyzed way deeper and way faster.
The real issue isn’t the model, it’s incentives around data retention and monetization. That part hasn’t changed, just amplified.
Feels like we’re still using 2005 era privacy rules for 2026 tech.
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> …the risk associated with sharing data with tech companies is roughly the same as it always was. Almost any data sent to a company’s servers could be potentially accessible by employees, government agencies, lawyers or criminals who have obtained data through loopholes and security breaches.
> But the intimate nature of conversations with a chatbot adds a new twist to an old problem: People are sharing much more than they once did. Unlike a traditional web search tool, chatbots invite people to type complete thoughts and follow-up questions, revealing their intentions much more explicitly.
> “The issues are, in many cases, the same, but it’s a way of interacting with technology that previously hadn’t been done,” said Chris Gilliard, an independent privacy scholar in Detroit. “When that happens, people need to be rewired in terms of understanding what the threats and harms are.”
> It’s a lesson that internet users have had to learn and relearn. About eight years ago, Meta, formerly known as Facebook, came under fire when news broke that Cambridge Analytica, a political consulting firm, had inappropriately hoovered up the data of 87 million Facebook users.
Honestly AI didn’t create new privacy risks, it just scales the old ones.
Data was always being collected. Now it’s being analyzed way deeper and way faster.
The real issue isn’t the model, it’s incentives around data retention and monetization. That part hasn’t changed, just amplified.
Feels like we’re still using 2005 era privacy rules for 2026 tech.