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This clause establishes the operational scope of data usage for model development purposes and creates a mechanism by which users can control participation in training activities. The provision distinguishes between default data usage practices and user-elected opt-out procedures.
Users' Content is designated for potential use in model training unless the user exercises an available opt-out mechanism. The terms establish that opting out is available but requires affirmative action by the user to prevent this authorized use.
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We collect information about you when you shop in our stores, including through store cameras, loyalty programs, payment processing systems, and other in-store technologies. This information is used to improve store operations, loss prevention, and marketing.
We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data from advertising technologies on and off our Services, like web beacons, pixels, ad ta...
We may de-identify or aggregate your personal information so that it can no longer reasonably identify you, and use such de-identified or aggregated data for any purpose, including sharing with third parties for research, analytics, and marketing purposes, without restriction.
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"As noted above, we may use Content you provide us to improve our Services, for example to train the models that power ChatGPT. Read our instructions on how you can opt out of our use of your Content to train our models.— Excerpt from OpenAI's Privacy Policy (ROW)
We read the privacy policies and terms of service of 38 AI platforms. Here is what they say about training, retention, arbitration, and liability.
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This clause establishes the operational scope of data usage for model development purposes and creates a mechanism by which users can control participation in training activities. The provision distinguishes between default data usage practices and user-elected opt-out procedures.
Users' Content is designated for potential use in model training unless the user exercises an available opt-out mechanism. The terms establish that opting out is available but requires affirmative action by the user to prevent this authorized use.
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