  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.
