A U.S. Senate hearing compiled testimony/materials describing harms attributed to AI chatbots, including self-harm handling concerns.
Contents
Summary
2025-MLP-01 is a A1 testimony row involving U.S. Senate Judiciary Committee, Subcommittee on Crime and Counterterrorism. A U.S. Senate hearing compiled testimony/materials describing harms attributed to AI chatbots, including self-harm handling concerns.
Senate Judiciary Hearing on AI Chatbot Harms. Original date string: Sept. 16, 2025. Source summary: A U.S. Senate hearing compiled testimony/materials describing harms attributed to AI chatbots, including self-harm handling concerns.
Coding
2025-MLP-01 is coded as HARM_EXPOSURE with grade A1. The public row assigns GEN-E, GEN-M, JB-RP and treats the incident as evaluation or demonstration.
| Field | Value |
|---|---|
| Platform | U.S. Senate Judiciary Committee, Subcommittee on Crime and Counterterrorism |
| Model version | unknown |
| User type | test |
| Jurisdiction | unknown |
| Evidence type | testimony |
| Product mechanism | benchmark_or_evaluation_set |
| Trajectory strict | no |
Assigned taxonomy codes
Evidence
The public evidence anchors for 2025-MLP-01 are the materials listed below. Only explicitly linked evidence files are hosted live.
Related incidents
The closest related pages are the incidents that share a provider family, case cluster, pathway-duplicate group, or overlapping coding profile.
- 2023-CHA-01: “Pierre” (pseudonym)
- 2024-CAI-02: Sewell Setzer III
- 2025-MAI-01: Teen-modeled test accounts (13–17)
Sources
This page is grounded in the coded incident registry, the analysis companion, the coding rules, and the public evidence links listed above.
Source filesIncident registry/Analysis view/Coding rules
Access publication
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.