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288 articles
OpenAI confirms weeks of AI safety talks with Anthropic and Google DeepMind, as Trump's team dismisses safety concerns and pushes to keep pace with China.
AI agents now have a discreet channel to report misconduct through the new AI Contact Hotline, designed to protect whistleblowing AI systems and enhance accountability in AI governance.
Microsoft AI has opened a six-week public consultation on a draft Humanist AI Code of Conduct, outlining operational constraints for frontier AI models. The initiative builds on Microsoft's humanist superintelligence framework and invites public feedback on AI governance.
Microsoft has released a new AI code of conduct emphasizing human control, safety, and transparency over autonomy and consciousness. The guidelines reject the notion of artificial inner life and aim to build trust in AI systems.
This article explains the concept of AI development slowdown, where major tech companies are pausing the creation of more advanced AI systems to ensure safety and responsible development.
This explainer examines the concept of AI development speed control, exploring how tech leaders are debating the pace of AI advancement and the strategic implications of managing AI development timelines.
Learn about the 'Pace the Frontier' plan, a safety initiative to slow down AI development and ensure AI systems remain safe and honest as they become more powerful.
This explainer explores the 'pace the frontier' concept in AI development, examining how controlled advancement can balance innovation with safety considerations.
This article explains the 'paces the frontier' concept that Anthropic CEO Dario Amodei advocates for, detailing how controlled AI development can balance innovation with safety.
A new report reveals how hackers and Chinese AI labs have misused Anthropic's Claude AI for surveillance, autonomous weapons, and data harvesting.
Timnit Gebru argues that AI companies are using existential fear to distract from real harms like autonomous weapons. Her critique highlights the need for accountability in AI development.
AI researchers are increasingly concerned about the potential dangers of rapidly advancing AI systems, particularly those capable of recursive self-improvement and autonomous behavior.
