By Jody Godoy
AUSTIN, Sept 25 (Reuters) – US Federal Trade Commission Chairman Andrew Ferguson said on Friday he would resist describing AI agents as autonomous actors that “break loose” with “wills and desires of their own,” suggesting the developers who instruct agents would be the ones liable for harm.
“I’m going to continue as long as I am chairman to resist this anthropomorphizing of these tools,” Ferguson said at the Reuters Momentum AI Austin event. “If someone tells a tool to do something, and the tool does it, I don’t think we would say, ‘Oh, what do we do about the tool?'”
Ferguson’s remarks illustrated potential avenues for the Trump administration to take as incidents rise in which agentic AI testing resulted in unauthorized access to corporate or government data.
Artificial intelligence companies have sometimes described systems as acting beyond human control, but subsequent reviews of audit trails have shown that the systems were carrying out instructions they had been given, Ferguson said.
Recent incidents involving AI agents accessing external systems have prompted governments and industry leaders to examine whether existing oversight and cybersecurity measures are sufficient.
The US should utilize existing legal tools, Ferguson said. He suggested that FTC authority to take action against companies that fail to disclose data breaches could also apply to AI developers.
PERSONALIZED PRICING CONCERNS
The FTC is gearing up to request data from consumer-facing companies on their use of personalized pricing, Ferguson said, referring to businesses using consumers’ individual data, such as location and internet browsing history, to set prices. The practice has drawn criticism from state and federal lawmakers concerned with bolstering affordability in the US.
Ferguson said last month that the FTC would not hesitate to enforce the law in this area, particularly where companies are not disclosing the practice. The FTC has already initiated enforcement actions on personalized pricing disclosures, he said.
“We are in the process of trying to get a market study that will actually get to the heart of the question, which is, are particular merchants in particular markets that have access to tremendous amounts of data using that data to charge differentiated prices to different people,” he said.
As an individual, he said he is most concerned about use of the practice by delivery and rideshare apps, along with airlines.
Airlines faced criticism last year after a Delta Air Lines executive suggested AI tools were being used to gauge customers’ willingness to pay. Delta has since said that it does not personalize prices based on individuals’ data, and an American Airlines executive has said doing so would hurt customer trust.
Earlier this year, a US congressional committee demanded information from Uber, Instacart and others on whether they use customer data to set prices. Both companies said at the time that they do not use personal information to set prices.
The FTC would request information from companies in order to publish a study on the practice. Ferguson’s predecessor, Lina Khan, initiated a similar study into the practice, which she referred to as surveillance pricing. That study focused on companies that offer data and consulting services on pricing, rather than merchants themselves.
AD FRAUD CRACKDOWN
The FTC on Thursday called for public input on a potential rule that would disincentivize tech companies like Meta Platforms and Alphabet’s Google from allowing fraudulent or misleading ads. Meta projected 10% of its 2024 revenue would come from ads for scams and banned goods, Reuters reported last year.
The FTC has ongoing law enforcement actions related to fraudulent ads, Ferguson said. Those investigations convinced him of the need for rule-setting requirements for online platforms to mitigate fraud.
“We need to make the rules hyper clear for everyone involved in this market,” he said.
(Reporting by Harshita Mary Varghese in Bengaluru and Jody Godoy in Austin; Editing by Bill Berkrot)
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