Trump Pressured by MAGA Allies to Regulate AI Like Nuclear Power
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A conservative coalition, led by the group Humans First, is urging former President Donald Trump to implement mandatory safety tests for artificial intelligence (AI) models before they hit the market. Among the signatories of this appeal are influential figures such as Stephen K. Bannon, former chief strategist for Trump and host of the War Room podcast, and Amy Kremer, president of Humans First and a long-time Tea Party activist.
A Call for Strict Regulation
In an open letter, the coalition is requesting an executive order from Trump to impose these safety tests. The signatories also include Brendan Steinhauser from the Alliance for Secure AI, Jason Van Beek from the Future of Life Institute, as well as Michael Toscano from the Institute for Family Studies, Ryan Girdusky from the 1776 Project PAC, and Geoffrey Miller, a psychologist at the University of New Mexico. Dozens of pastors and regional activists associated with the MAGA movement are also supporting this initiative.
Risks Compared to Nuclear Threats
The group warns of the potential dangers posed by advanced AI systems, citing threats to cybersecurity, critical infrastructure, financial systems, election integrity, biosecurity, and the military domain. They emphasize that AI is already being used for sophisticated cyberattacks, targeted misinformation, and automated fraud. The next generation of AI models carries risks of an entirely different magnitude, including the ability to design biological weapons or infiltrate critical infrastructure. The coalition asserts that tech companies should not be allowed to deploy these technologies without rigorous government oversight. Some companies have even discussed selling their most advanced systems to countries with differing values, raising concerns about their ability to self-regulate. The authors draw parallels with existing controls on nuclear materials and aviation certification, highlighting that powerful AI models deserve a similar level of scrutiny.
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