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Twitch and Amazon hit with lawsuit for training AI with streamers’ content

Developed over time first seen 2 months ago

Engadget ·

A Twitch streamer has filed a class action lawsuit against Twitch and its parent company, Amazon, alleging that his streams and videos were used without consent to train Amazon's AI models. Warren Pandiscia, based in Connecticut, brought the suit after Courthouse News first reported the complaint, accusing the companies of breach of contract for treating streamers' content as "free training stock" for commercial AI products without licensing or permission. The case adds Amazon to a growing list of tech firms facing legal action over the unauthorised use of creators' content for AI training, following a similar suit brought by three YouTubers against Apple earlier this year.

The lawsuit followed Twitch's introduction, earlier in the month, of a setting allowing streamers to opt out of having their content used to train generative AI models across Amazon, with the option enabled by default rather than requiring opt-in consent. Twitch's chief product officer, Mike Minton, reportedly defended this design during a company livestream, saying "if it was opt-in, nobody would opt in." Pandiscia's complaint claims streamers "lost money or property" as a result of what it calls the companies' "unlawful, unfair and fraudulent practices," though no ruling or settlement in the case has been reported.

  • Streamer Warren Pandiscia sues Twitch and Amazon over AI training use
  • Twitch's opt-out AI setting is default-on, not default-off
  • Follows similar YouTuber lawsuit against Apple earlier this year

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Twitch is a live-streaming platform, mainly used by gamers, owned by Amazon. Like other big tech firms, Amazon has been building generative AI models, and streamers' broadcasts and archived videos are a huge pool of video and audio material that could potentially be used to train them.

The case has been brought by Warren Pandiscia, a streamer from Connecticut, on behalf of a wider group of streamers, arguing that their content was used to train Amazon's AI without their permission or any payment, breaching the agreements they had with Twitch. It matters because it raises a question affecting many online creators: whether platforms can use material people upload for one purpose to build commercial AI products, and who should have a say or benefit when that happens.

This is part of a broader pattern of similar legal challenges, including a separate case brought by YouTubers against Apple, as courts and companies work out the rules around AI firms using creators' content to train their systems.

Both sides, in good faith

The strongest fair case each way — we don't pick a winner.

The case for

Streamers argue that consent must be meaningfully sought, not buried in a default setting few users will notice or understand, and that broadcasting a stream publicly is not the same as licensing it for commercial AI training. They contend that their performances have real commercial value, built through years of effort and audience-building, and that platforms should not be permitted to repurpose that work into training data for profit-generating products without explicit permission or compensation. The opt-out design, they say, reveals an awareness that creators would object if properly asked, making the arrangement feel less like informed consent and more like exploitation of inertia.

The case against

Twitch and Amazon can reasonably argue that their terms of service, which users agree to when streaming, already grant broad licences to use content for platform improvement and development, and that offering any opt-out at all goes beyond what many digital platforms provide. They may contend that training AI on publicly broadcast material is a transformative use that benefits the wider streaming ecosystem, funding new features and tools rather than replacing creators' work outright. An opt-in requirement, they might argue, would be commercially unworkable for a feature still being tested and refined, and offering a clear, accessible opt-out strikes a fair balance between innovation and creator control.

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