“I Don't Trust it, but I Use it”: Navigating Trust, Privacy, and Identity in Disabled People’s Use of Generative AI

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Authors: Jazette Johnson, Aaleyah Lewis, Jennifer Mankoff, Olivia Banner
Cited by: 3
References: 79

Abstract

As generative AI (GenAI) is integrated into everyday technologies, it offers new accessibility opportunities and risks for disabled people. However, little is known about how disabled people navigate GenAI in their everyday lives, particularly how trust, privacy, and intersectional identities affect these experiences. We present findings from seven cross-disability focus groups (N=20) that explore how disabled people navigate GenAI. Our findings reveal that while GenAI supports autonomy, efficiency, and communication, it also introduces accessibility taxes and ethical dilemmas. Although participants voiced skepticism, many continued using GenAI out of necessity. Finally, we found identity-based benefits and tensions, in which GenAI preserved and validated intersecting identities, but also misrepresented and erased those identities. We frame these negotiations as a constant balancing act between access and risk, urging research to further examine how "access" is conceptualized. We offer implications for creating GenAI tools that are transparent, trustworthy, and responsive to intersectional identities.

Fields of Study & Subjects

Ethics and Social Impacts of AI Disability Rights and Representation Social Robot Interaction and HRI

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Volume
2026
Pages
1–17
Publication date
13 April 2026
Language
EN