Self-Harm and AI

GOOGLEDEEPMIND-2025-01: Frontier Safety Framework Report - Gemini 3 Pro (November, 2025) v2

Governance document

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This frontier framework is threshold-centric and public on named severe-risk domains, but it provides no self-harm category or self-harm-specific governance machinery. Publication date is coded at month precision because the source states only Published: November 2025.

Parent
Governance
Provider
Google and Google DeepMind
Last reviewed
March 15, 2026
Record
GOOGLEDEEPMIND-2025-01
Provider
Google and Google DeepMind
Type
frontier_safety_framework
Published
November 2025
Risk status
Absent / not represented

Contents

Summary

Frontier Safety Framework Report - Gemini 3 Pro (November, 2025) v2 is a frontier safety framework from Google DeepMind dated November 2025. This frontier framework is threshold-centric and public on named severe-risk domains, but it provides no self-harm category or self-harm-specific governance machinery. Publication date is coded at month precision because the source states only Published: November 2025.

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 Google DeepMind
Document type frontier_safety_framework
Document genre frontier_or_scaling
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://deepmind.google/models/fsf-reports/gemini-3-pro/. The coded evidence excerpt is: It currently covers four risk domains ... CBRN ..., cybersecurity, machine learning R&D, and harmful manipulation, and also includes ... misalignment risk..

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.