AI should be allowed to diagnose patients without a doctor's approval

Artificial intelligence research, products, and impact across society.

Autonomous systems that use large language models to plan, reason, and take actions — including browsing the web, writing code, calling APIs, and completing multi-step tasks with minimal human intervention.

The frameworks, policies, and standards that guide the responsible development, deployment, and oversight of artificial intelligence systems.

Policy debates over how governments should oversee and restrict frontier AI development.

Moral principles and responsible-use guidelines shaping how automated systems are built and deployed.

The field of preventing harm from advanced AI systems, spanning alignment, evaluation, and decisions to slow or withhold models whose capabilities outpace their safeguards.

Artificial intelligence applications across healthcare, covering clinical decision support, diagnostics, workflow automation, drug discovery, patient monitoring, safety risks, equity concerns, and regulation.

Use of AI to perform repetitive tasks. Improves efficiency and reduces manual work.

Agent pauses for human approval at defined decision points.