Rigotti, Carlotta; Puttick, Alexandre Riemann; Fosch-Villaronga, Eduard; Kurpicz-Briki, Mascha (9 June 2023). Mitigating Diversity Biases of AI in the Labor Market In: EWAF’23: European Workshop on Algorithmic Fairness. Winterthur, Switzerland. June 07–09, 2023.
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In recent years, artificial intelligence (AI) systems have been increasingly utilized in the labor market, with many employers relying on them in the context of human resources (HR) management. However, this increasing use has been found to have potential implications for perpetuating bias and discrimination. The BIAS project kicked off in November 2022 and is expected to develop an innovative technology (hereinafter: the Debiaser) to identify and mitigate biases in the recruitment process. For this purpose, an essential step is to gain a nuanced understanding of what constitutes AI bias and fairness in the labor market, based on cross-disciplinary and participatory approaches. What follows is a preliminary overview of the design and expected implementation of the project, as well as how our project aims to contribute to the existing literature on law, AI, bias, and fairness.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) > IDAS / Applied Machine Intelligence School of Engineering and Computer Science |
Name: |
Rigotti, Carlotta; Puttick, Alexandre Riemann; Fosch-Villaronga, Eduard and Kurpicz-Briki, Mascha |
Subjects: |
Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Language: |
English |
Submitter: |
Mascha Kurpicz-Briki |
Date Deposited: |
18 Dec 2023 14:00 |
Last Modified: |
18 Dec 2023 14:00 |
Related URLs: |
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ARBOR DOI: |
10.24451/arbor.20738 |
URI: |
https://arbor.bfh.ch/id/eprint/20738 |
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