The FAIF includes quantitative thresholds and third-party review language for frontier risk management, but it does not name or govern self-harm as a frontier category.
Contents
Summary
xAI Frontier Artificial Intelligence Framework is a frontier safety framework from xAI dated December 30, 2025. The FAIF includes quantitative thresholds and third-party review language for frontier risk management, but it does not name or govern self-harm as a frontier category.
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 | xAI |
| 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.
Related pages
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://data.x.ai/2025-12-31-xai-frontier-artificial-intelligence-framework.pdf. The coded evidence excerpt is: This FAIF discusses two major categories of AI risk - malicious use and loss of control..
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.