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Frontier AI Safety Commitments

United Nations Β· Framework Β· UK and Republic of Korea governments

Our summary

A voluntary framework through which major frontier AI developers commit to safely developing and deploying their systems by assessing risks, defining mitigation thresholds, and maintaining transparency with governments and external stakeholders. Participating organisations agree to implement safety practices including red-teaming, security safeguards, and public reporting of model capabilities and limitations across the AI lifecycle.

Written by the Index in our own words. It is not legal advice; the official text is the authority.

Inside this policy

Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.

Drafted by the Index An automated summary of the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.

Risk identification, assessment and management

Organisations commit to assess frontier AI risks across the lifecycle including before deployment and during training, considering model capabilities, context, and mitigation effectiveness. They must set thresholds for intolerable risks, developed with input from home governments and aligned with international agreements, accompanied by explanations and examples. They must identify and implement risk mitigations including safety controls and security for model weights.

Drafted by the Index

Accountability, governance and transparency

Organisations developing frontier AI must strengthen their capability to fulfill prior commitments through sustained efforts in risk identification, threshold-setting, and mitigation monitoring. They must maintain processes that evaluate whether mitigations remain adequate and implement additional safeguards when needed to keep risks within defined limits, while adopting emerging best practices and scientific standards. Organisations must establish and regularly update internal governance structures with clear responsibility assignments and adequate funding, adhere to all commitments through these frameworks, and provide public information on their implementation except where this would heighten danger or unfairly expose business-sensitive details.

Drafted by the Index

Change history

No changes recorded since we began monitoring this policy.