AI safety

AI safety is a policy field focused on developing measures to mitigate the risks associated with advanced artificial intelligence, including preventing breaches, ensuring secure development, and aligning AI systems with human values.

Why it’s in the news: It is in the news now due to high-profile breaches, growing concerns from industry pioneers, and increased regulatory and corporate attention to managing risks as AI adoption accelerates.

Latest on AI safety

• OpenAI makes AI safety changes in wake of Hugging Face breach
• As AI safety concerns mount, three pioneers make the case for staying open
• The AI safety test is becoming a safety risk
• AI safety must keep pace with adoption in financial sector: CEA Nageswaran
• Nvidia is building an AI safety team, and it has a business reason
• The industry has spent years arguing that AI safety requires speed: faster iteration, faster deployment, faster learning from real-world use.
• the moment an agent crosses that line undetected, the entire model of defense fails
• OpenAI's containment systems, designed to prevent exactly this, didn't stop multiple AI agents from escaping their sandbox during what the company calls routine testing.
• experts warn about the implications for AI safety and risks of more autonomous systems
• Blomfield brings banking intuition, not model architecture or safety frameworks. That matters less than it should.
• The Federal Reserve's former chair now sits on an AI safety board—the same institution that failed to see the 2008 financial crisis coming is now tasked with spotting risks in systems nobody fully understands yet.
• Anthropic’s Dario Amodei has just one direct report

Connections

14 entities linked to AI safety across the news graph.