University of Maryland

Enabling Safe Access to AI for People with Disabilities

This multi-dimensional project takes a community-engaged approach to understand how we can enable safe access to AI for people with disabilities. Ongoing threads in this work include:

  • Examining the downstream safety risks perpetuated by AI against people with disabilities
  • Understanding social and material conditions required to enable trustworthy and safe access to AI

Project Team

Vaishnav Kameswaran, Katie Shilton

Project Outcomes

  • Landscape literature review on safety and trustworthiness in AI
  • Mixed-methods study on assessing safety risks and conditions required to enable safe access to AI for people with disabilities
  • Publications in top Human-Computer Interaction Venues (like CSCW, CHI) and magazines (like Interactions)
  • Understanding of how we can support advocacy groups to resist AI

Definitions

AI (or Artificial Intelligence) is a technology that allows computers to think and learn from patterns in data to understand language, recognize images, solve problems, and make decisions.

Community-engaged research is a process that incorporates input from people who the research outcomes will impact and involves such people or groups as equal partners throughout the research process.