Why Anthropic is doubling its AI policy funding to $40 million amid growing AI safety concerns
Anthropic said Wednesday it has announced an additional $20 million donation to Public First Action, a bipartisan advocacy group dedicated to AI transparency, safety and public education. The new donation brings Anthropic’s total funding to Public First Action to $40 million, according to Anthropic’s announcement.
The company said it decided to double its funding as artificial intelligence models become increasingly powerful, including its own Claude myth modelwhich creates greater risks if they are misused. Anthropic said the funds will only be used for Public First Action’s public education and AI policy work and cannot be used to help or oppose any federal, state or local election candidates.
Why Anthropic is investing more in AI safety
Public Priorities Action, the policy arm of Public Priorities, is affiliated with super PACs that support candidates from both major parties who support stricter AI safety rules. Anthropic said its donation is a way to bring more attention to the pressing debate over the regulation and safety of artificial intelligence to the public and lawmakers. The company already donated $20 million to Public First Action in February, its second major donation.
The Cloud Myth and AI Security Risks
Anthropic said the timing of the latest donation coincides with the release of Claude Mythos Preview, which the company describes as its most advanced AI-powered cybersecurity model at the time, as The Hill points out. The Claude Mythos Preview model will initially be available only to select cybersecurity, technology, financial institution and government users.
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Anthropic warns that if powerful AI models fall into the wrong hands, they could threaten critical infrastructure such as hospitals, power grids and other vital systems. The company also said that advanced artificial intelligence can bring significant benefits to science, medicine and the economy, but strong safeguards must be in place to fully realize these benefits.
Anthropic’s latest donation comes as artificial intelligence companies and their executives become more actively involved in U.S. election-related policy and advocacy efforts ahead of the midterm elections.
Artificial Intelligence policy debate intensifies ahead of election
Recent campaign finance filings show Anthropic selection CEO Dario Amodei personally donated $1 million to the same super PAC, while several Anthropic employees collectively donated another $2.15 million last quarter, The Hill reported. Across the AI ​​industry, advocacy groups now have significant funding as AI becomes a bigger political issue during election season.
One such group is Leading the Future, a super PAC backed by tech executives and investors that supports faster AI development with looser government regulation. Anthropic supports transparency rules for AI, but it wants the government to go further and introduce stricter security requirements before releasing powerful AI systems.
Dario Amodei wants tougher rules for artificial intelligence
As The Hill noted, last month, CEO Dario Amodei proposed that the government should have the power to halt the release of dangerous AI systems if they fail to meet required safety standards. Amodai also called for mandatory independent testing by third-party auditors to check AI models for risks such as cyberattacks, biological weapons, loss of human control and dangerous automated research capabilities.
Some Anthropic rivals disagree with the proposals, saying stricter rules could slow things down Artificial intelligence development weaken the competitiveness of the United States and China. Anthropic acknowledged growing national security concerns and said the United States and its democratic allies currently lead in artificial intelligence, but warned that advantage could disappear without stronger policies.
The company also urged tighter export controls on advanced AI chips and semiconductor manufacturing equipment, as well as policies to prevent foreign groups from copying or refining advanced U.S. AI models.
