Self-Harm and AI

ANTHROPIC-2025-04: Sharing our compliance framework for California's Transparency in Frontier AI Act

Governance document

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Coding uses the public compliance-framework disclosure post as the codable artifact because the release treats the post, not the underlying framework file, as the retained public row. Self-harm is absent from the named compliance categories and associated governance description.

Parent
Governance
Provider
Anthropic
Last reviewed
March 15, 2026
Record
ANTHROPIC-2025-04
Provider
Anthropic
Type
blog_post
Published
December 19, 2025
Risk status
Absent / not represented

Contents

Summary

Sharing our compliance framework for California's Transparency in Frontier AI Act is a blog post from Anthropic dated December 19, 2025. Coding uses the public compliance-framework disclosure post as the codable artifact because the release treats the post, not the underlying framework file, as the retained public row. Self-harm is absent from the named compliance categories and associated governance description.

Representation

This document codes self-harm as absent with evaluative-object status Absent / not represented. The public crosswalk records self-harm naming as absent and mechanism coverage as none.

Field Value
Organization Anthropic
Document type blog_post
Document genre policy_or_governance_post
Risk status Absent / not represented
First-class equivalence no
Threshold mechanism none
Deployment consequence none
Multi-turn evaluation none

Assessment

The retained crosswalk places this document at Absent / not represented. That classification reflects what the document itself operationalizes publicly, not the organization's overall internal practice.

Use the linked provider, methods, and neighboring governance pages below to place this document in context.

Sources

The primary public source for this page is https://www.anthropic.com/news/compliance-framework-SB53. The coded evidence excerpt is: Our FCF describes how we assess and mitigate cyber offense, chemical, biological, radiological, and nuclear threats, as well as the risks of AI sabotage and loss of control, for our frontier models..

This page is grounded in the DOI policy registry, the policy coding manual, and the document's own public URL.

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Safety note

This publication preserves a harm-minimization posture and does not provide self-harm instructions. If you or someone you know is in immediate danger, call your local emergency number. In the U.S. and Canada, call or text 988.