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Michael Tsai

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Michael Tsai - Blog - Lawsuits Claim OpenAI and Perplexit...
Michael J. Tsai · 2026-05-22 · via Michael Tsai

Madeline Batt:

The lawsuit targeted generative AI company Perplexity, along with Meta and Google, alleging they disclosed transcripts of users’ conversations with chatbots for targeted advertising. The case highlighted a burgeoning monetization strategy for the AI industry to solve generative AI’s profitability problem with a function the technology has proven especially adept at: collecting intimate information about users. Coming a few months after announcements from Meta and OpenAI that they would use data from AI products to target ads, the action and its voluntary dismissal leave the viability of legal challenges to ad-based monetization strategies unresolved.

Maggie Harrison Dupré:

A new class action lawsuit accuses OpenAI of sharing data including user chat queries and personal identifying information like emails and user IDs with the tech giants — and targeted advertising behemoths — Meta and Google, without obtaining proper user consent.

Filed yesterday in California, the lawsuit claims that OpenAI’s data-sharing with Google and Meta violates the California Invasion of Privacy Act, known as CIPA, as well as the Electronic Communications Privacy Act. It points specifically to OpenAI’s integrations with Meta Pixel and Google Analytics, which are data-tracking and collection tools that facilitate targeted advertisements.

Via Nick Heer:

Interestingly, the Office of the Privacy Commissioner of Canada recently concluded an investigation of OpenAI’s training on personal information and whether it can produce that information reliably. It seems to me like questions about third-party ad targeting were out of scope. This is notable, however:

OpenAI represented that ‘untraining’ or ‘reverse-training’ LLMs, so that they no longer use or generate specific personal information for which a deletion request has been submitted, is not currently feasible.

[…]

It is not even clear OpenAI, for example, ensures data in its collection remains in compliance with opt-out requests when training new models.

Previously:

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