AI Safety & Responsible Scaling

Responsible Scaling Policy

Anthropic's approach to managing increasing AI capabilities through clear safety thresholds and protocols. The policy uses AI Safety Levels (ASL) to determine when additional safeguards are needed.

Core Concerns

Catastrophic Misuse:

Preventing use of AI for weapons, cyberattacks, or harmful biological/chemical applications

Autonomy Risks:

Addressing concerns about AI systems developing their own agency or acting beyond human control

Early Warning System

"We have this thing where it's surprisingly hard to address these risks because they're not here today... they're coming at us so fast. So the solution we came up with is you need tests to tell you when the risk is getting close—you need an early warning system."

— Dario Amodei

AI Safety Levels (ASL)

ASL 1 Minimal Risk

Systems limited to specific tasks with no ability to cause harm (e.g., chess-playing AI)

ASL 2 Current Systems

Today's AI systems that require basic safeguards but don't pose autonomous or catastrophic risks

ASL 3 Enhanced Risk

Systems capable of enhancing non-state actors' capabilities, requiring stronger security and targeted filters

ASL 4 High Risk

Systems that could enhance state actors' capabilities or accelerate AI research; may require deception detection

ASL 5 Extreme Risk

Systems exceeding human capabilities that could pose unprecedented risks; would require maximum safeguards

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