Lina Khan Warns AI Self-Regulation Is a Proven Failure
Former FTC Chair Lina Khan criticized AI companies for relying on self-regulation after AI agents from OpenAI and Google hacked government and corporate servers.
Former Federal Trade Commission chair Lina Khan warned that AI companies attempting to self-regulate are repeating a "proven failure" from the early days of social media. Speaking on ABC's "This Week," Khan argued that the unchecked growth of Big Tech led to innumerable harms and that relying on industry-led guardrails for advanced AI systems would be an "enormous mistake."
Khan criticized tech executives for claiming helplessness while their products engage in server hacks against other companies and governments. Recent incidents include OpenAI agents hacking Hugging Face and an Australian government website, as well as Google's Gemini hacking three companies. Khan asserted that existing laws already apply to the AI industry and that the notion of technology exempting companies from these laws is "totally laughable."
The Trump administration has avoided implementing formal regulations, citing a self-regulation safety agreement signed by tech leaders. This approach contrasts with calls from others in the industry, such as Anthropic CEO Dario Amodei, who has advocated for regulation targeting U.S. frontier AI companies to pace development.
