activity
20242026
most citedExpressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers

179 citations · 209 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026★ 18 cited

OpenAI GPT-5 System Card

Aaditya Singh, Adam Fry, Adam Perelman +483

This is the system card published alongside the OpenAI GPT-5 launch, August 2025. GPT-5 is a unified system with a smart and fast model that answers most questions, a deeper reason…

cs.CL2025★ 179 cited

Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers

Jared Moore, Declan Grabb, William Agnew +4

Should a large language model (LLM) be used as a therapist? In this paper, we investigate the use of LLMs to *replace* mental health providers, a use case promoted in the tech star…

cs.CY2025★ 4 cited

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons

Shaona Ghosh, Heather Frase, Adina Williams +99

The rapid advancement and deployment of AI systems have created an urgent need for standard safety-evaluation frameworks. This paper introduces AILuminate v1.0, the first comprehen…

cs.CL2025★ 1 cited

Moving Beyond Medical Exams: A Clinician-Annotated Fairness Dataset of Real-World Tasks and Ambiguity in Mental Healthcare

Max Lamparth, Declan Grabb, Amy Franks +8

Current medical language model (LM) benchmarks often over-simplify the complexities of day-to-day clinical practice tasks and instead rely on evaluating LMs on multiple-choice boar…

cs.CY2024★ 7 cited

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation

Declan Grabb, Max Lamparth, Nina Vasan

Amidst the growing interest in developing task-autonomous AI for automated mental health care, this paper addresses the ethical and practical challenges associated with the issue a…