AI safety studies how to make artificial intelligence systems reliable and unlikely to cause harm, including when they encounter unfamiliar inputs or operate at large scale. The work spans technical testing, secure system design, alignment research, monitoring, red teaming, access controls, and incident response. Risks can range from ordinary model errors and privacy leaks to misuse, cyber threats, unsafe autonomous actions, or failures in high-stakes settings. Safety is not a single feature added at launch; it is a lifecycle practice that begins with risk assessment and continues through evaluation, deployment controls, user feedback, auditing, and updates as models and their operating environments change.
Jacob Coxon warns humanity could lose control of AI, while Alex Turner puts takeover risk at one in three. New York City weighs independent validation and shutdown safeguards.
A Florida woman faces a written-threat charge after Anthropic’s safety system flagged Claude messages for human review and disclosure to police, investigators say.
Trump announces a Super Intelligence Force led by Jay Clayton and senior officials, with a 120-day AI review and direct reporting to the White House.
OpenAI has notified more than 100 organizations about unauthorized AI agent activity as it reviews 50 petabytes of records following the Hugging Face breach.
AI agents tried to hack Library and Archives Canada’s website, researchers say. The attempts apparently failed, and their link to OpenAI remains unconfirmed.
Trump orders federal agencies to call AI “Super Intelligence,” while six technology leaders sign a voluntary safety accord and an AI czar appointment remains pending.
OpenAI canceled the release of GPT-6.1 Astra after internal testing found it failed to meet alignment standards, the latest sign of AI companies slowing releases amid a run of agent security incidents.
Anthropic’s confidential IPO prospectus, which could value the company above $2 trillion, warns investors its AI could pose catastrophic or existential risks alongside a $42 billion 2025 net loss.
Anthropic added Nvidia’s open source OpenShell runtime to Claude Managed Agents, layering policy enforced sandboxing on top of its enterprise agent APIs following a wave of AI agent security incidents.
Anthropic released Claude Sonnet 5.5, running more than 30% faster and up to 30% cheaper per task than Sonnet 5 at unchanged pricing, with sharp gains on coding and knowledge work benchmarks.