Results 11 to 20 of about 785,694 (353)
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey [PDF]
ACM Transactions on Intelligent Systems and Technology, 2023 Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and structural inequalities.
Alessandro Fabris +7 more
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Quantifying hierarchy and dynamics in US faculty hiring and retention
Nature, 2022 Faculty hiring and retention determine the composition of the US academic workforce and directly shape educational outcomes1, careers2, the development and spread of ideas3 and research priorities4,5. However, hiring and retention are dynamic, reflecting
K. H. Wapman +3 more
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Social Science Research Network, 2022 Notwithstanding the improved integration of various minority groups in the workforce, unequal treatment in hiring still hinders many individuals ’ access to the labour market.
Louis Lippens, S. Vermeiren, S. Baert
semanticscholar +1 more source
Autism, 2023 Autistic people face high unemployment rates. One reason for this may be that hiring processes are inaccessible. This study aimed to establish autistic people’s unique experiences of hiring processes in the United Kingdom, by comparing them to the ...
Jade Davies +5 more
semanticscholar +1 more source
Mitigating bias in algorithmic hiring: evaluating claims and practices [PDF]
FAT*, 2019 There has been rapidly growing interest in the use of algorithms in hiring, especially as a means to address or mitigate bias. Yet, to date, little is known about how these methods are used in practice.
Manish Raghavan +3 more
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Trends in racial and ethnic discrimination in hiring in six Western countries
Proceedings of the National Academy of Sciences of the United States of America, 2023 Significance Trends in discrimination are critical to evaluate the extent to which Western societies are (or are not) achieving the fundamental goal of ensuring fair and equal treatment regardless of race and ethnicity.
Lincoln Quillian, John J. Lee
semanticscholar +1 more source
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability [PDF]
Patterns, 2021 Summary In this perspective, we develop a matrix for auditing algorithmic decision-making systems (ADSs) used in the hiring domain. The tool is a socio-technical assessment of hiring ADSs that is aimed at surfacing the underlying assumptions that justify
Mona Sloane, E. Moss, Rumman Chowdhury
semanticscholar +1 more source
Proc. ACM Hum. Comput. Interact., 2023 Despite debates about emotion artificial intelligence's (EAI) validity, legality, and social consequences, EAI is increasingly present in the high stakes context of hiring, with potential to shape the future of work and the workforce. The values laden in
Kat Roemmich +3 more
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Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring
AI and Ethics, 2022 The use of artificial intelligence (AI) technologies in organizations’ recruiting and selection procedures has become commonplace in business practice; accordingly, research on AI recruiting has increased substantially in recent years.
A. Hunkenschroer, Alexander Kriebitz
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Algorithmic Hiring in Practice: Recruiter and HR Professional's Perspectives on AI Use in Hiring
AAAI/ACM Conference on AI, Ethics, and Society, 2021 The use of AI-enabled hiring software raises questions about the practice of Human Resource (HR) professionals' use of the software and its consequences. We interviewed 15 recruiters and HR professionals about their experiences around two decision-making
Lan Li +3 more
semanticscholar +1 more source