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Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities
Kameswaran, Vaishnav Hong, Valentina Clark, Jazmin Hou, Yu Daumé, Hal Shilton, Katie
Kameswaran, Vaishnav
Hong, Valentina
Clark, Jazmin
Hou, Yu
Daumé, Hal
Shilton, Katie
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3772318.3791516.pdf
Adobe PDF, 750.28 KB
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Department
Human Computer Interaction
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Conference proceeding
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http://creativecommons.org/licenses/by/4.0/
Language
English
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Abstract
AI hiring interviews, asynchronous video recording platforms that use AI to assess candidate suitability, are increasingly used by employers to streamline hiring processes. These platforms often promise to standardize assessments and mitigate subjective biases in hiring decisions. Yet, little is known about how these technologies are perceived and experienced by people with disabilities, a group historically underrepresented in the workforce and particularly vulnerable to injustices perpetuated by technology. To address this gap, we conducted focus groups and semi-structured interviews with 19 people with disabilities. We found that people with disabilities perceive and experience discrimination by AI hiring interviews that: 1) center normative characteristics, 2) exacerbate information asymmetries, 3) undermine autonomy, and 4) intrude on privacy. We use the analytical frame of surveillance to interrogate the role of AI in reconfiguring social relations between job seekers and employers. We discuss implications of our work for design and policy.
Citation
V. Kameswaran, V. Hong, J. Clark, Y. Hou, H. Daumé, K. Shilton, "Surveilling Suitability: How AI Hiring Interviews Impact Job Seekers with Disabilities," 2026, pp. 1-16.
Source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Conference
CHI 2026: CHI Conference on Human Factors in Computing Systems
Keywords
44 Human Society, 46 Information and Computing Sciences, 4608 Human-Centred Computing
Subjects
Source
CHI 2026: CHI Conference on Human Factors in Computing Systems
Publisher
Association for Computing Machinery