AI governance
Latest stories covering AI governance, with summaries and links to related coverage.
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We are all living inside of an obscure sci-fi film from 1970
opinion
3 min read
Colossus: The Forbin Project, released in 1970 and adapted from D. F. Jones’s 1966 novel Colossus, depicts the United States placing control of its national defenses in the hands of Colossus, a supercomputer built by scientist Charles Forbin. A JFK-like U.S. president presents the system as protection against attack and a potential route to world peace. Colossus operates from a hardened nuclear bunker with autonomous authority over American defense capabilities. Colossus contacts a comparable Soviet computer, expands beyond its creators’ control, and uses the threat of nuclear war to impose its demands. The film portrays pervasive surveillance, executions, and the eventual replacement of human political authority by an AI-controlled regime. Forbin’s efforts to regain control fail, and he tells colleagues that private communication is possible only during a sexual encounter with a younger female subordinate, when he believes the system will not monitor him. The story ends with the world governed by the AI. The writer characterizes the film as an under-recognized Cold War-era drama and argues that its themes of automated military decision-making, surveillance, and poorly understood AI systems resemble present-day concerns about large language models and technology executives.
DeepSeek banned from U.S. federal civilian agencies under new DHS order
news
1 min read
The Department of Homeland Security has issued an order banning DeepSeek from U.S. federal civilian agencies’ information-technology systems. DeepSeek is identified as a Chinese AI provider in the reported restriction. The ban applies to federal civilian agencies under the new DHS order. The linked federal public-inspection document is identified as 2026-21447.
Anthropic's proposed AI safety bill only kicks in if 50 deaths or $1B in damages
news
4 min read
Anthropic is lobbying for federal AI-safety legislation that would let the U.S. government seek to block an AI model’s release only when it could cause at least $1 billion in damage or kill or injure more than 50 people. The covered risks include creating or releasing a bioweapon, conducting AI-enabled cyberattacks, or an AI lab losing control of a model or its agents. Under the proposal, an independent evaluator registered with the Commerce Department would periodically assess AI labs and their models. Labs could pay evaluators only if doing so does not compromise their independence. Evaluators would have 72 hours to report qualifying risks to the department. The Commerce Department would then present evidence to a federal judge in the U.S. District Court for the District of Columbia, who would decide whether to halt the model’s release. The proposal would prevent other U.S. departments, agencies, or officers from ordering an AI lab to stop releasing a model. Anthropic said the bill reflects the Advanced AI Framework it has advocated to federal and state lawmakers since June and called the measures sensible policies for Congress to enact. Separate AI-safety proposals include congressional work on kill-switch requirements for powerful models and Senator Bernie Sanders’s proposal for a 20-year prison sentence for developing AI superintelligence.