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Prosecutors across 47 states, Washington, D.C., and U.S. territories have announced a groundbreaking legal settlement with technology giant Meta over accusations that the social media company deliberately designed addictive products they knew to be harmful to children. Meta, the parent company of Instagram and Facebook, is set to pay at least $12 billion and up to $17.1 billion in financial penalties, in addition to implementing design changes for underage users. "This is the least they can do to prevent harms that have metastasized and have already caused suicides … [but] we cannot be relying on fines, or certainly even on litigation, after harms have already transpired. What we need are rules of the road. And we need rules that go to the root cause of the business model," says Amba Kak, the co-executive director of AI Now Institute, who joins us for a wide-ranging discussion on tech policy and regulation. Kak, who advises various governments on AI regulatory guidelines, adds, "The era of looking to tech CEOs or tech luminaries to give us answers for what are fundamentally social and political questions, I think, is gone."
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We speak with Timnit Gebru, a leader in the field of AI ethics, about how artificial intelligence is entrenching societal biases and inequality. Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute, a group of academics, activists and engineers who produce research rooted in the belief that technology should benefit everyone. She also co-founded Black in AI, a nonprofit that works to increase the inclusion and visibility of Black people in the field of AI. Gebru previously served as co-lead of the ethical AI research team at Google but was fired in 2020 for writing a paper that warned about the financial and environmental costs of large language models, as well as their propensity to promote racism. The internet, which is what AI uses to train itself, "represents hegemonic views," says Gebru. "We even know articles like Wikipedia are heavily biased. It's overwhelmingly Western and male."
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