AI hiring systems disadvantage blind and low-vision job seekers by misrepresenting their identities, leading them to use strategic workarounds, peer networks, and refusal to regain agency.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 2years
2026 2representative citing papers
PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.
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AI-Mediated Hiring and the Job Search of Blind and Low-Vision Individuals
AI hiring systems disadvantage blind and low-vision job seekers by misrepresenting their identities, leading them to use strategic workarounds, peer networks, and refusal to regain agency.
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PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions
PrivacyAkinator uses LLM-generated questions grounded in data-flow representations and a news-mined design space to help developers surface privacy decisions, yielding 47% more decisions identified in 73% less time than PRAM in a 24-person study.