Senator Adam Schiff says recursive AI is a national‑security threat, urges AI firms to retain training data and calls for an FDA on AI
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| Source: Techmeme | Original article
Senator Adam Schiff warns that recursive AI poses a national security threat and calls for data‑retention rules and an FDA‑like regulator for AI.
Senator Adam Schiff, a California Democrat, sat down with The Verge’s Nilay Patel for a wide‑ranging Q&A that put the emerging “recursive AI” risk on the legislative agenda. Schiff warned that AI systems capable of improving themselves without human oversight could become a genuine national‑security threat, echoing concerns raised by defense and intelligence officials over the past year. He urged Congress to require AI firms to retain the data used to train their models, arguing that such records are essential for audits, attribution of misuse and mitigation of bias.
The senator also floated the idea of an “FDA for AI,” a dedicated agency that would certify safety and performance before advanced models reach the market. He said a formal regulatory framework would help curb the rapid, often opaque rollout of powerful systems and give policymakers a clearer lever for enforcement.
Why it matters is twofold. First, the prospect of self‑optimising AI heightens fears of unintended strategic capabilities, from autonomous weaponisation to sophisticated disinformation campaigns. Second, without mandatory data‑retention and an independent safety body, regulators lack the tools to trace harmful outcomes back to their source, leaving both consumers and national interests vulnerable.
Looking ahead, Schiff signalled that he will push for legislation mandating training‑data archives and for the creation of a federal AI oversight office. The next steps will likely include hearings in the Senate Intelligence Committee and the Commerce Committee, where industry leaders are expected to testify on the feasibility of data‑retention mandates and a certification regime. Watch for any bills introduced in the coming weeks and for reactions from major AI firms, which could shape the pace and scope of U.S. AI governance.
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