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Fairness issues in AI systems that augment sensory abilities

Fairness issues in AI systems that augment sensory abilities 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 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGACCESS Accessibility and Computing Association for Computing Machinery

Fairness issues in AI systems that augment sensory abilities

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2020 Copyright is held by the owner/author(s)
ISSN
1558-2337
eISSN
1558-1187
DOI
10.1145/3386296.3386304
Publisher site
See Article on Publisher Site

Abstract

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 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.

Journal

ACM SIGACCESS Accessibility and Computing – Association for Computing Machinery

Published: Mar 2, 2020

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