# Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-Talk

arXiv: https://arxiv.org/abs/2503.17504 · HTML: https://mlsanity.com/paper/2503.17504/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Mar 2025.

## Built on by (most cited first, 2 of 2)

- [Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models](https://mlsanity.com/paper/2507.20241/) (2025)
- [Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations](https://mlsanity.com/paper/2601.15437/) (2026)

## Abstract (arXiv)

Autistic individuals often experience negative self-talk (NST), leading to increased anxiety and depression. While therapy is recommended, it presents challenges for many autistic individuals. Meanwhile, a growing number are turning to large language models (LLMs) for mental health support. To understand how autistic individuals perceive AI's role in coping with NST, we surveyed 200 autistic adults and interviewed practitioners. We also analyzed LLM responses to participants' hypothetical prompts about their NST. Our findings show that participants view LLMs as useful for managing NST by identifying and reframing negative thoughts. Both participants and practitioners recognize AI's potential to support therapy and emotional expression. Participants also expressed concerns about LLMs' understanding of neurodivergent thought patterns, particularly due to the neurotypical bias of LLMs. Practitioners critiqued LLMs' responses as overly wordy, vague, and overwhelming. This study contributes to the growing research on AI-assisted mental health support, with specific insights for supporting the autistic community.