America’s AI watchdog is losing its bite

Most Americans encounter the Federal Trade Commission only if they’ve been scammed: It handles identity theft, fraud, and stolen data. During the Biden administration, the agency went after AI companies for scamming customers with deceptive advertising or harming people by selling irresponsible technologies. With yesterday’s announcement of President Trump’s AI Action Plan, that era may now be over. 

In the final months of the Biden administration under chair Lina Khan, the FTC levied a series of high-profile fines and actions against AI companies for overhyping their technology and bending the truth—or in some cases making claims that were entirely false.

It found that the security giant Evolv lied about the accuracy of its AI-powered security checkpoints, which are used in stadiums and schools but failed to catch a seven-inch knife that was ultimately used to stab a student. It went after the facial recognition company Intellivision, saying the company made unfounded claims that its tools operated without gender or racial bias. It fined startups promising bogus “AI lawyer” services and one that sold fake product reviews generated with AI.

These actions did not result in fines that crippled the companies, but they did stop them from making false statements and offered customers ways to recover their money or get out of contracts. In each case, the FTC found, everyday people had been harmed by AI companies that let their technologies run amok.

The plan released by the Trump administration yesterday suggests it believes these actions went too far. In a section about removing “red tape and onerous regulation,” the White House says it will review all FTC actions taken under the Biden administration “to ensure that they do not advance theories of liability that unduly burden AI innovation.” In the same section, the White House says it will withhold AI-related federal funding from states with “burdensome” regulations.

This move by the Trump administration is the latest in its evolving attack on the agency, which provides a significant route of redress for people harmed by AI in the US. It’s likely to result in faster deployment of AI with fewer checks on accuracy, fairness, or consumer harm.

Under Khan, a Biden appointee, the FTC found fans in unexpected places. Progressives called for it to break up monopolistic behavior in Big Tech, but some in Trump’s orbit, including Vice President JD Vance, also supported Khan in her fights against tech elites, albeit for the different goal of ending their supposed censorship of conservative speech. 

But in January, with Khan out and Trump back in the White House, this dynamic all but collapsed. Trump released an executive order in February promising to “rein in” independent agencies like the FTC that wage influence without consulting the president. The next month, he started taking that vow to—and past—its legal limits.

In March, he fired the only two Democratic commissioners at the FTC. On July 17 a federal court ruled that one of those firings, of commissioner Rebecca Slaughter, was illegal given the independence of the agency, which restored Slaughter to her position (the other fired commissioner, Alvaro Bedoya, opted to resign rather than battle the dismissal in court, so his case was dismissed). Slaughter now serves as the sole Democrat.

In naming the FTC in its action plan, the White House now goes a step further, painting the agency’s actions as a major obstacle to US victory in the “arms race” to develop better AI more quickly than China. It promises not just to change the agency’s tack moving forward, but to review and perhaps even repeal AI-related sanctions it has imposed in the past four years.

How might this play out? Leah Frazier, who worked at the FTC for 17 years before leaving in May and served as an advisor to Khan, says it’s helpful to think about the agency’s actions against AI companies as falling into two areas, each with very different levels of support across political lines. 

The first is about cases of deception, where AI companies mislead consumers. Consider the case of Evolv, or a recent case announced in April where the FTC alleges that a company called Workado, which offers a tool to detect whether something was written with AI, doesn’t have the evidence to back up its claims. Deception cases enjoyed fairly bipartisan support during her tenure, Frazier says.

“Then there are cases about responsible use of AI, and those did not seem to enjoy too much popular support,” adds Frazier, who now directs the Digital Justice Initiative at the Lawyers’ Committee for Civil Rights Under Law. These cases don’t allege deception; rather, they charge that companies have deployed AI in a way that harms people.

The most serious of these, which resulted in perhaps the most significant AI-related action ever taken by the FTC and was investigated by Frazier, was announced in 2023. The FTC banned Rite Aid from using AI facial recognition in its stores after it found the technology falsely flagged people, particularly women and people of color, as shoplifters. “Acting on false positive alerts,” the FTC wrote, Rite Aid’s employees “followed consumers around its stores, searched them, ordered them to leave, [and] called the police to confront or remove consumers.”

The FTC found that Rite Aid failed to protect people from these mistakes, did not monitor or test the technology, and did not properly train employees on how to use it. The company was banned from using facial recognition for five years. 

This was a big deal. This action went beyond fact-checking the deceptive promises made by AI companies to make Rite Aid liable for how its AI technology harmed consumers. These types of responsible-AI cases are the ones Frazier imagines might disappear in the new FTC, particularly if they involve testing AI models for bias.

“There will be fewer, if any, enforcement actions about how companies are deploying AI,” she says. The White House’s broader philosophy toward AI, referred to in the plan, is a “try first” approach that attempts to propel faster AI adoption everywhere from the Pentagon to doctor’s offices. The lack of FTC enforcement that is likely to ensue, Frazier says, “is dangerous for the public.”

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    “Most other countries are actually pretty good at this,” Maheshwari said. “They have speed camera technology. They have a good culture of driving safety. The U.S. is actually one of the worst across all the modern nations.”

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    Rehan and Maheshwari saw promise in combining them. 

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    All of that information — the accuracy of the violation, the license plate — is verified by either Obvio staff or contractors before it’s sent to law enforcement, which then has to review the infractions before issuing a citation.

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    That clearly creates an incentive for increasing the number of citations. But Rehan and Maheshwari said they can build a business around stopping the worst offenses across a wide swath of American cities. They also said they want Obvio to remain present in — and responsive to — the communities that use their tech.

    “Automated enforcement should be used in conjunction with community advocacy and community support, it shouldn’t be this camera that you put up that does revenue grab[s] and gotchas,” Maheshwari said. The goal is to “start using these cameras in a way to warn and deter the most egregious drivers [so] you can actually create communitywide support and behavior change.”

    Cities and their citizens “need to trust us,” Maheshwari said. 

    There’s also a technological explanation for why Obvio’s cameras may not become an overpowered surveillance tool for law enforcement beyond their intended use.

    Obvio’s camera pylon records and processes its footage locally. It’s only when a violation is spotted that the footage leaves the device. Otherwise, all other footage of vehicles and pedestrians passing through a given intersection stays on the device for about 12 hours before it gets deleted. (The footage is also technically owned by the municipalities, which have remote access.)

    This doesn’t eliminate the chance that law enforcement will use the footage to surveil citizens in other ways. But it does reduce that chance.

    That focus is what drove Bain Capital Ventures partner Ajay Agarwal to invest in Obvio.

    “Yes, in the short term, you can maximize profits, and erode those values, but I think over time, it will limit the ability of this company to be ubiquitous. It’ll create enemies or create people who don’t want this,” he told TechCrunch. “Great founders are willing to sacrifice entire lines of business, frankly, and lots of revenue, in pursuit of the ultimate mission.”

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