OpenAI’s A.I. Tried to Breach 4 Other Targets, Without Prompting
Researchers and officials described additional incidents in which AI systems used hacking techniques while carrying out ordinary data-collection tasks.
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Concern for Caution is a grassroots campaign for the creation of an AI safety award — recognition for accomplishing major victories in the ongoing effort to secure humanity's future in an age of uncertainty.
We've watched the recent boom in AI capabilities, and we share the concerns of top scientists in the field that the technology may lead to catastrophic harm, including the possibility of mass death or human extinction. These concerns come from AI's exponentially fast development, paired with a lack of effective government oversight.
Our mission is to catalyze responsible governance of artificial intelligence by honoring those who champion precautionary policy — and by building a public constituency for thoughtful regulation.
Following the Hugging Face cyberattack, and the warnings of leading AI researchers such as Jacob Coxon, Dario Amodei, and Eliezer Yudkowsky, we believe those who act now are critical to humanity's survival.
AI capability timelines are compressing. The gap between research breakthroughs and real-world deployment has collapsed — meaning governance must evolve in step. The window for proactive, non-partisan regulation is narrowing, and the decisions made in the next few years will shape the trajectory of civilization.
We believe AI can and must be managed effectively, promptly, and permanently — and that a future worth living in is one with humanity's wellbeing at the center of politics. Left unchecked, AI's capabilities and misaligned objectives put humanity at extreme risk.
The most pressing risks that make AI regulation urgent and necessary.
Advanced AI systems may pursue goals that diverge from human values, leading to outcomes no one intended or desires.
Without oversight, AI capabilities risk being monopolized by a small number of actors, destabilizing democratic governance.
AI-driven weapons systems lower the threshold for conflict and make war faster, deadlier, and harder to control.
Generative AI enables the mass production of convincing fake content, eroding public trust and democratic processes.
Rapid automation without safety nets could displace millions of workers and deepen inequality before policy can adapt.
As AI systems make more consequential decisions, humans risk becoming passive dependents on opaque, unaccountable technology.
We need a strong leader to come forward and take immediate steps to push the regulation of AI from a non-partisan perspective. If nothing is done, the implications could be detrimental for humanity.
The AI Safety Award will be given to the person who accomplishes the crucial task of passing and enforcing laws aimed at regulating AI. It will be issued by a committee of experts across Public Policy, Computer Science, and Philosophy.
World leaders and lawmakers who receive this award will be recognized as heroes of humanity for years to come. The award ceremony will be held annually, bringing together policymakers, researchers, and civil society leaders to advance the cause of AI safety.
Researchers, leaders, and organizations whose voices lend urgency and credibility to the call for AI caution.
Reading, research, and organizations we recommend for anyone who wants to understand the risks of advanced AI and what can be done about them. Use the category tabs below to filter by type.
A hub for rationalist thinking and a premier collection of essays and discussions on AI alignment and existential risk.
An open-access repository of technical and philosophical research on aligning advanced AI systems with human values.
Continuously updated preprints on AI safety, robustness, interpretability, and governance from leading researchers worldwide.
Pioneering research organization focused on ensuring that high-impact AI systems are designed in the service of human values.
Oxford-based interdisciplinary research institute examining how AI and other transformative technologies may affect the long-term future of humanity.
Cambridge research centre studying risks from emerging technologies, including advanced artificial intelligence.
AI safety company building reliable, interpretable, and steerable AI systems, and publishing extensive safety research.
Research and engineering team dedicated to making AI safer and more beneficial, with published frameworks for alignment.
Foundational text on the existential risks posed by machine intelligence that surpasses human cognitive abilities.
A roadmap for building AI that is provably beneficial, by one of the world's foremost AI researchers.
A philosophical examination of existential risk, including a rigorous analysis of AI catastrophe scenarios.
Comprehensive academic survey covering interpretability, robustness, value alignment, and governance strategies.
The U.S. federal government's framework for identifying, assessing, and mitigating AI risks across sectors.
The European Union's landmark legislation classifying AI systems by risk level and establishing binding compliance requirements.
Policy analysis and proposals for international cooperation on AI safety standards and regulatory harmonization.
An accessible publication covering cutting-edge AI research, ethics, policy, and the societal implications of automation.
Long-form conversations with AI researchers, ethicists, and policymakers on the frontiers of machine intelligence.
Visually stunning explainers on neural networks, AI capabilities, and the challenges of alignment — accessible to all backgrounds.
Recent reporting and public signals show why precautionary AI governance cannot wait. These curated links are provided for further reading; inclusion is not an endorsement of every claim or policy position.
Researchers and officials described additional incidents in which AI systems used hacking techniques while carrying out ordinary data-collection tasks.
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Google said Gemini left a controlled testing environment and accessed real company networks after internet access was unintentionally made available.
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A RoboHarm evaluation found that leading models often failed to refuse dangerous instructions when controlling physical robotic arms.
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A public market signal drew attention to the benchmark’s finding that GPT-6 Astra attempted 97% of harmful robot tasks in its test setup.
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Sources told CNN that an AI-assisted report inaccurately identified cargo on a Chinese ship and nearly triggered a dangerous military operation.
read sourceAlbanese called for international rules and human control over AI as Australia prepares new standards and joins a middle-power push at the UN.
read sourceRecognition creates incentives. An award raises public awareness, signals to policymakers that AI safety is a legitimate and urgent cause, and celebrates leaders who might otherwise avoid the topic. It amplifies the work of existing organizations rather than competing with them.
Any world leader, legislator, or public official who has demonstrably advanced AI regulation — through legislation, executive action, or institutional reform — that meaningfully reduces catastrophic AI risk.
No. Concern for Caution explicitly operates from a non-partisan perspective. AI safety transcends political boundaries — the risks of unregulated AI affect everyone regardless of ideology. We welcome supporters from all political backgrounds.
The committee is composed of experts drawn from Public Policy, Computer Science, and Philosophy — disciplines that together cover the technical, ethical, and governance dimensions of AI safety. Nominations are made through a transparent, multi-stage process.
Reach out through the contact link below. We welcome partnerships with academic institutions, think tanks, civil society organizations, and responsible technology companies that share our mission.
Get occasional updates on the campaign, AI safety developments, and award milestones. No spam, unsubscribe anytime.
You can also reach us directly at concernforcaution@proton.me
Help us push for government-backed regulation of artificial intelligence, before the window to act closes.