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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A conceptual framework for fair online recruitment is developed from four themes of job seekers' fairness concerns identified via grounded theory on r/jobs data and translated using value sensitive design.
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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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Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job Seekers' Fairness Concerns
A conceptual framework for fair online recruitment is developed from four themes of job seekers' fairness concerns identified via grounded theory on r/jobs data and translated using value sensitive design.