Politicians and public officials

Lina Khan

Chair of the Federal Trade Commission

2 records

Portrait source: Federal Trade Commission, Public domain

Records

Just as we’ve seen behavioral advertising fuel the endless collection of user data, model training is emerging as another feature that could further incentivize surveillance.

Lina Khan

Chair of the Federal Trade Commission

At a January 2024 FTC summit, Chair Lina Khan said AI model training could create further incentives for surveillance, as behavioral advertising had fueled collection of user data.

Chair of the Federal Trade CommissionJanuary 2024Federal Trade Commission

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Surrounding words

… our thinking on the various opportunities and potential obstacles for competition across AI markets and are eager to be learning from players within this ecosystem "Second, we are squarely focused on how business models drive incentives. Just as we’ve seen behavioral advertising fuel the endless collection of user data, model training is emerging as another feature that could further incentivize surveillance. The FTC’s work has made clear that these business incentives cannot justify violations of the law.

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The FTC is making clear that some data is simply off the table for training models.

Lina Khan

Chair of the Federal Trade Commission

At a January 2024 FTC summit, Chair Lina Khan said the agency was making some data off-limits for training AI models.

Chair of the Federal Trade CommissionJanuary 2024Federal Trade Commission

Source Archived

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Surrounding words

… upstream payment actors accountable for knowingly facilitating fraud. [6] "And fourth, we’re focused on crafting effective remedies that establish bright-line rules on the development, use, and management of AI inputs. The FTC is making clear that some data is simply off the table for training models. For example, our recent order against Rite Aid bans the company from using facial recognition tools after its reckless application of the technology led to innocent people being accused of shoplifting.

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Quote matched character-for-character against the captured page.

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an AI reviewer that read the whole source · an automatic character-by-character check