After OpenAI hearing, A.I. experts urge Congress to listen to more diverse voices on regulation

At most tech CEO hearings in recent years, lawmakers have taken a contentious tone, grilling executives over their data-privacy practices, competitive methods and more.

But at Tuesday’s hearing on AI oversight including OpenAI CEO Sam Altman, lawmakers seemed notably more welcoming toward the ChatGPT maker. One senator even went as far as asking whether Altman would be qualified to administer rules regulating the industry.

Altman’s warm welcome on Capitol Hill, which included a dinner discussion the night prior with dozens of House lawmakers and a separate speaking event Tuesday afternoon attended by House Speaker Kevin McCarthy, R-Calif., has raised concern from some AI experts who were not in attendance this week.

These experts caution that lawmakers’ decision to learn about the technology from a leading industry executive could unduly sway the solutions they seek to regulate AI. In conversations with CNBC in the days after Altman’s testimony, AI leaders urged Congress to engage with a diverse set of voices in the field to ensure a wide range of concerns are addressed, rather than focus on those that serve corporate interests.

OpenAI did not immediately respond to a request for comment on this story.

For some experts, the tone of the hearing and Altman’s other engagements on the Hill raised alarm.

Lawmakers’ praise for Altman at times sounded almost like “celebrity worship,” according to Meredith Whittaker, president of the Signal Foundation and co-founder of the AI Now Institute at New York University.

“You don’t ask the hard questions to people you’re engaged in a fandom about,” she said.

“It doesn’t sound like the kind of hearing that’s oriented around accountability,” said Sarah Myers West, managing director of the AI Now Institute. “Saying, ‘Oh, you should be in charge of a new regulatory agency’ is not an accountability posture.”

West said the “laudatory” tone of some representatives following the dinner with Altman was surprising. She acknowledged it’s possibly a “signal that they’re just trying to sort of wrap their heads around what this new market even is, although it’s not new. It’s been around for a long time.”

Safiya Umoja Noble, a professor at the University of California, Los Angeles and author of “Algorithms of Oppression: How Search Engines Reinforce Racism,” said lawmakers who attended the dinner with Altman seemed “deeply influenced to appreciate his product and what his company is doing. And that also doesn’t seem like a fair deliberation over the facts of what these technologies are.”

“Honestly, it’s disheartening to see Congress let these CEOs pave the way for carte blanche, whatever they want, the terms that are most favorable to them,” Noble said.

At Tuesday’s Senate hearing, lawmakers made comparisons to the social media era, noting their surprise that industry executives showed up asking for regulation. But experts who spoke with CNBC said industry calls for regulation are nothing new and often serve an industry’s own interests.

“It’s really important to pay attention to specifics here and not let the supposed novelty of someone in tech saying the word ‘regulation’ without scoffing distract us from the very real stakes and what’s actually being proposed, the substance of those regulations,” said Whittaker.

“Facebook has been using that strategy for years,” Meredith Broussard, NYU professor and author of “More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech,” said of the call for regulation. “Really, what they do is they say, ‘Oh, yeah, we’re definitely ready to be regulated’… And then they lobby [for] exactly the opposite. They take advantage of the confusion.”

Experts cautioned that the kinds of regulation Altman suggested, like an agency to oversee AI, could actually stall regulation and entrench incumbents.

“That seems like a great way to completely slow down any progress on regulation,” said Margaret Mitchell, researcher and chief ethics scientist at AI company Hugging Face. “Government is already not resourced enough to well support the agencies and entities they already have.”

Ravit Dotan, who leads an AI ethics lab at the University of Pittsburgh as well as AI ethics at generative AI startup Bria.ai, said that while it makes sense for lawmakers to take Big Tech companies’ opinions into account since they are key stakeholders, they shouldn’t dominate the conversation.

“One of the concerns that is coming from smaller companies generally is whether regulation would be something that is so cumbersome that only the big companies are really able to deal with [it], and then smaller companies end up having a lot of burdens,” Dotan said.

Several researchers said the government should focus on enforcing the laws already on the books and applauded a recent joint agency statement that asserted the U.S. already has the power to enforce against discriminatory outcomes from the use of AI.

Dotan said there were bright spots in the hearing when she felt lawmakers were “informed” in their questions. But in other cases, Dotan said she wished lawmakers had pressed Altman for deeper explanations or commitments.

For example, when asked about the likelihood that AI will displace jobs, Altman said that eventually it will create more quality jobs. While Dotan said she agreed with that assessment, she wished lawmakers had asked Altman for more potential solutions to help displaced workers find a living or gain skills training in the meantime, before new job opportunities become more widely available.

“There are so many things that a company with the power of OpenAI backed by Microsoft has when it comes to displacement,” Dotan said. “So to me, to leave it as, ‘Your market is going to sort itself out eventually,’ was very disappointing.”

A key message AI experts have for lawmakers and government officials is to include a wider array of voices, both in personal background and field of experience.

“I think that community organizations and researchers should be at the table; people who have been studying the harmful effects of a variety of different kinds of technologies should be at the table,” said Noble. “We should have policies and resources available for people who’ve been damaged and harmed by these technologies … There are a lot of great ideas for repair that come from people who’ve been harmed. And we really have yet to see meaningful engagement in those ways.”

Mitchell said she hopes Congress engages more specifically with people involved in auditing AI tools and experts in surveillance capitalism and human-computer interactions, among others. West suggested that people with expertise in fields that will be affected by AI should also be included, like labor and climate experts.

Whittaker pointed out that there may already be “more hopeful seeds of meaningful regulation outside of the federal government,” pointing to the Writers’ Guild of America strike as an example, in which demands include job protections from AI.

Government should also pay greater attention and offer more resources to researchers in fields like social sciences, who have played a large role in uncovering the ways technology can result in discrimination and bias, according to Noble.

“Many of the challenges around the impact of AI in society has come from humanists and social scientists,” she said. “And yet we see that the funding that is predicated upon our findings, quite frankly, is now being distributed back to computer science departments that work alongside industry.”

Noble said she was “stunned” to see that the White House’s announcement of funding for seven new AI research centers seemed to have an emphasis on computer science.

“Most of the women that I know who have been the leading voices around the harms of AI for the last 20 years are not invited to the White House, are not funded by NSF [and] are not included in any kind of transformative support,” Noble said. “And yet our work does have and has had tremendous impact on shifting the conversations about the impact of these technologies on society.”

Noble pointed to the White House meeting earlier this month that included Altman and other tech CEOs, such as Google’s Sundar Pichai and Microsoft’s Satya Nadella. Noble said the photo of that meeting “really told the story of who has put themselves in charge…The same people who’ve been the makers of the problems are now somehow in charge of the solutions.”

Bringing in independent researchers to engage with government would give those experts opportunities to make “important counterpoints” to corporate testimony, Noble said.

Still, other experts noted that they and their peers have engaged with government about AI, albeit without the same media attention Altman’s hearing received and perhaps without a large event like the dinner Altman attended with a wide turnout of lawmakers.

Mitchell worries lawmakers are now “primed” from their discussions with industry leaders.

“They made the decision to to start these discussions, to ground these discussions in corporate interests,” Mitchell said. “They could have gone in a totally opposite direction and asked them last.”

Mitchell said she appreciated Altman’s comments on Section 230, the law that helps shield online platforms from being held responsible for their users’ speech. Altman conceded that outputs of generative AI tools would not necessarily be covered by the legal liability shield and a different framework is needed to assess liability for AI products.

“I think, ultimately, the U.S. government will go in a direction that favors large tech corporations,” Mitchell said. “My hope is that other people, or people like me, can at least minimize the damage, or show some of the devil in the details to lead away from some of the more problematic ideas.”

“There’s a whole chorus of people who have been warning about the problems, including bias along the lines of race and gender and disability, inside AI systems,” said Broussard. “And if the critical voices get elevated as much as the commercial voices, then I think we’re going to have a more robust dialogue.”

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