179 citations · 200 across the 4 of their papers we have counts for
5 papers
DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots
Jared Moore, Andrea Mock, Yifan Mai +9
Mental health professionals have raised concerns about risks of psychological harm from interaction with large language models (LLMs), including "delusional spirals" in which conce…
Characterizing Delusional Spirals through Human-LLM Chat Logs
Jared Moore, Ashish Mehta, William Agnew +11
As large language models (LLMs) have proliferated, disturbing anecdotal reports of negative psychological effects, such as delusions, self-harm, and ``AI psychosis,'' have emerged…
Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
Aspen K. Hopkins, Isabella Struckman, Kevin Klyman +1
The AI industry is exploding in popularity, with increasing attention to potential harms and unwanted consequences. In the current digital ecosystem, AI deployments are often the p…
Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation
Sacha Alanoca, Shira Gur-Arieh, Tom Zick +1
AI governance has transitioned from soft law, such as national AI strategies and voluntary guidelines, to binding regulation at an unprecedented pace. This evolution has produced a…
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…