California passes first controversial AI Kill Bill
When AI goes rogue or harms people we need to be able to "Kill it" but that's not easy, or doable yet.
Key takeaways
- A controversial bill aimed at enforcing safety standards for large Artificial Intelligence (AI) models has now passed the California State Assembly by a 45 to 11 vote.
- Following a 32 to 1 state Senate vote in May, SB-1047 now faces just one more procedural state senate vote before heading to Governor Gavin Newsom's desk.
Cite or link to this article
Griffin, M. (2024) 'California passes first controversial AI Kill Bill', 311 Institute, 7 September. Available at: https://www.311institute.com/california-passes-first-controversial-ai-kill-bill/ (Accessed: 1 October 2026).
A controversial bill aimed at enforcing safety standards for large Artificial Intelligence (AI) models has now passed the California State Assembly by a 45 to 11 vote. Following a 32 to 1 state Senate vote in May, SB-1047 now faces just one more procedural state senate vote before heading to Governor Gavin Newsom's desk.
As I've previously explained, SB-1047 asks AI model creators to implement an AI Kill Switch, which so far only very few companies have toyed around with creating and found very problematic to design let alone implement, that can be activated if that model starts introducing "novel threats to public safety and security," especially if it's acting "with limited human oversight, intervention, or supervision."
Some have criticized the bill for focusing on outlandish risks from an imagined future AI rather than real, present-day harms of AI use cases like deepfakes or misinformation.
In announcing the legislative passage Wednesday, bill sponsor and state senator Scott Weiner cited support from AI industry luminaries such as Geoffrey Hinton and Yoshua Bengio, who both last year also signed a statement warning of a "Risk of extinction" from fast-developing AI tech.
In a recently published editorial in Fortune magazine, Bengio said the bill "outlines a bare minimum for effective regulation of frontier AI models" and that its focus on large models, which cost over $100 million to train - will avoid any impacts on smaller startups.
"We cannot let corporations grade their own homework and simply put out nice-sounding assurances," Bengio wrote. "We don’t accept this in other technologies such as pharmaceuticals, aerospace, and food safety. Why should AI be treated differently?"
But in a separate Fortune editorial from earlier this month, Stanford computer science professor and AI expert Fei-Fei Li argued that the "well-meaning" legislation will "have significant unintended consequences, not just for California but for the entire country."
The bill's imposition of liability for the original developer of any modified model will "force developers to pull back and act defensively," Li argued. This will limit the open source sharing of AI weights and models, which will have a significant impact on academic research, she wrote.
A group of California business leaders sent an open letter Wednesday urging Newsom to veto the "fundamentally flawed" bill that improperly "regulates model development instead of misuse." The bill would "introduce burdensome compliance costs" and "chill investment and innovation through regulatory ambiguity," the group said.
If the Senate confirms the Assembly version as expected, Newsom will have until September 30 to decide whether to sign the bill into law. If he vetoes it, the legislature could override with a two-thirds vote in each chamber (a strong possibility given the overwhelming votes in favor of the bill).
At a UC Berkeley Symposium in May, Newsom said he worried that "if we over-regulate, if we overindulge, if we chase a shiny object, we could put ourselves in a perilous position."
At the same time, Newsom said those over-regulation worries were balanced against concerns he was hearing from leaders in the AI industry.
"When you have the inventors of this technology, the godmothers and fathers, saying, 'Help, you need to regulate us,' that's a very different environment," he said at the symposium. "When they're rushing to educate people, and they're basically saying, 'We don't know, really, what we've done, but you've got to do something about it,' that's an interesting environment."
What this means for your organisation
Thresholds decide who is caught.
The bill applies to systems costing over $100 million to train. Bengio argues that avoids burdening smaller firms. Expect regulation defined by scale rather than sector.
Shut-down is harder than it sounds.
Few companies have built a workable switch, and those that tried found it difficult. A legal duty does not make the engineering easy. Suppliers should expect scrutiny of how such controls actually work.
Present harms are sidelined.
Critics say the bill addresses hypothetical risks rather than faked media or misinformation. Both sets of harms need answers. Firms should not treat compliance as the whole of responsibility.
Three questions for your next leadership meeting
- Would scale-based AI rules apply to anything we build?
- Could we actually shut down an AI system we deploy?
- Does our governance cover present harms as well as extreme ones?
The trends and technologies behind this story
From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.
Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.
FAQ
Why does this matter?
When AI goes rogue or harms people we need to be able to "Kill it" but that's not easy, or doable yet.

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
Read full bio
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- passed the California State Assembly sd11.senate.ca.gov
- a 32 to 1 state Senate vote sd11.senate.ca.gov
- recently published editorial in Fortune magazine fortune.com
- a separate Fortune editorial fortune.com
- Fei fei li profiles.stanford.edu
- sent an open letter Wednesday rstreet.org
Source: first published by the 311 Institute on 7 September 2024. Cite as: Griffin, M. (2024). California passes first controversial AI Kill Bill. 311 Institute. https://www.311institute.com/california-passes-first-controversial-ai-kill-bill/
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