For the better part of the year, artificial intelligence (AI) policy has, reasonably, focused on establishing guardrails to mitigate some of the biggest risks in developing and deploying frontier AI models. This year has seen a rapid expansion in model capabilities, with the release of the first models capable of conducting advanced cyberattacks. We have also witnessed the first instances of models becoming advanced enough to outsmart the humans stress-testing them, raising some concerns about potential loss of control over frontier AI. In response, policymakers have enacted measures to mitigate some of the risks associated with the development and use of these advanced models. From the White House evaluation framework to the Joint Commitment on Frontier Responsibilities, rules setting up the AI industry’s duties and responsibilities have progressively increased.
However, while the industry faces increasingly intense scrutiny, there is worrisome vagueness about the government’s role and authority as a regulator.