Reviews

Search results

• Exploring Collaboration to Center the Deaf Community in Sign Language AI

  Rie Kamikubo, Abraham Glasser, Alex X Lu, Hal Daumé III, Hernisa Kacorri, Danielle Bragg · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates the critical disconnect between machine learning (ML) practitioners and Deaf American Sign Language (ASL) signers in the development of sign language AI technologies. Despite sign language processing's promise for societal inclusivity, the field…

  Deaf community · sign language · American Sign Language · machine learning · participatory AI

• Temp access: Reflecting on multimodal GAI as an accessibility technology for temporary disability

  Kate S. Glazko · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents an autoethnographic account of using multimodal generative AI (GAI) tools as accessibility technology during a period of temporary disability. The author, an accessibility researcher, experienced an illness that simultaneously impacted verbal communication,…

  generative AI · temporary disability · assistive technology · autoethnography · multimodal AI

• "Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People

  Tanusree Sharma, Yu-Yun Tseng, Lotus Zhang, Ayae Ide, Kelly Avery Mack, Leah Findlater, Danna Gurari, Yang Wang · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  This paper presents the first in-depth empirical study of how blind and low vision (BLV) individuals use generative AI (GenAI) tools to manage visual privacy across diverse everyday contexts. The researchers conducted semi-structured interviews with 21 BLV participants in the…

  blind and low vision · visual privacy · generative AI · privacy management · impression management

• Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

  Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery · 2025 · Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25)

  This paper introduces "policy maps," an approach to AI policy design for large language models inspired by physical mapmaking. The core insight is that comprehensive policy coverage over an unbounded space of LLM inputs and outputs is impossible — just as no map can capture…

  AI safety · AI policy · large language models · AI ethics · model evaluation

4 results.