Reporting Risks in AI-based Assistive Technology Research: A Systematic Review

July 01, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Zahra Ahmadi, Peter R. Lewis, Mahadeo A. Sukhai arXiv ID 2407.12035 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
Artificial Intelligence (AI) is increasingly employed to enhance assistive technologies, yet it can fail in various ways. We conducted a systematic literature review of research into AI-based assistive technology for persons with visual impairments. Our study shows that most proposed technologies with a testable prototype have not been evaluated in a human study with members of the sight-loss community. Furthermore, many studies did not consider or report failure cases or possible risks. These findings highlight the importance of inclusive system evaluations and the necessity of standardizing methods for presenting and analyzing failure cases and threats when developing AI-based assistive technologies.
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