The unconscious socio-cognitive bias of recruiters: can artificial intelligence help? A comparative case study
Marconi, Anita (A.A. 2022/2023) The unconscious socio-cognitive bias of recruiters: can artificial intelligence help? A comparative case study. Tesi di Laurea in Global organization design and HRM, Luiss Guido Carli, relatore Luca Giustiniano, pp. 119. [Master's Degree Thesis]
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Abstract/Index
Inequality in access to jobs. The labour market. The struggle of skilled immigrants. The social exclusion of the foreign educated. Hiring discrimination and ethnic penalties. Hiring through cultural matching. Implications. What is the socio-cognitive bias? How to reduce bias? What is artificial intelligence. The origin of AI. Key concepts. AI today. The human-AI relationship. The future of AI. Artificial intelligence in the corporate world. Different applications of AI in the corporate world. What will happen to these jobs? The use of AI in human resources. Are machines less biased than humans. Limitations of these systems. Is AI the one at fault? “A qualitative comparative case study: reverse and unilever. Overview. Methods. Data collection. Data analysis. Ethical considerations. Findings. Discussion.
References
Bibliografia: pp. 58-63.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Global Management and Politics, English language (LM-77) |
| Chair: | Global organization design and HRM |
| Thesis Supervisor: | Giustiniano, Luca |
| Thesis Co-Supervisor: | Pellegrino, Gianfranco |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 16 Jan 2024 10:58 |
| Last Modified: | 16 Jan 2024 10:58 |
| URI: | https://tesi.luiss.it/id/eprint/37563 |
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