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Creators/Authors contains: "Hanley, Margot"

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  1. ; ; (, Proceedings of the ACM on Human-Computer Interaction)
    null (Ed.)
    Full Text Available 
  2. ; ; ; ; (, ACM SIGACCESS Accessibility and Computing)
    Full Text Available 
  3. ; ; ; ; (, Workshop on AI Fairness for People with Disabilities)
    null (Ed.)
    Systems that augment sensory abilities are increasingly employing AI and machine learning (ML) approaches, with applications ranging from object recognition and scene description tools for blind users to sound awareness tools for d/Deaf users. However, unlike many other AI-enabled technologies these systems provide information that is already available to non-disabled people. In this paper, we discuss unique AI fairness challenges that arise in this context, including accessibility issues with data and models, ethical implications in deciding what sensory information to convey to the user, and privacy concerns both for the primary user and for others. 
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    Accepted Manuscript Full Text Available