Publicação
Ethical implications of artifical intelligence in recruitment: an examination and risk mitigation framework
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Monteiro, Joana Corrêa | |
| dc.contributor.author | Müller, Annik Christin | |
| dc.date.accessioned | 2024-11-11T11:47:36Z | |
| dc.date.available | 2024-11-11T11:47:36Z | |
| dc.date.issued | 2024-01-26 | |
| dc.date.submitted | 2023-12-20 | |
| dc.description.abstract | The thesis examines ethical considerations surrounding the use of Artificial Intelligence (AI) in recruitment. It delves into how AI is integrated into various stages of the recruitment process: scouting, screening, assessment and coordination. While some advocate for AI's potential as an impartial third party, others question its reliability, highlighting concerns such as algorithmic bias and privacy rights. Through a systematic literature review, the paper outlines these ethical considerations, providing a normative guide and proposing a mitigation framework for organi zations leveraging AI in recruitment. | pt_PT |
| dc.identifier.tid | 203601319 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/174955 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | UID/ECO/00124/2013 | pt_PT |
| dc.subject | Ai recruiting | pt_PT |
| dc.subject | Algorithmic hiring | pt_PT |
| dc.subject | Ethics of ai | pt_PT |
| dc.subject | Algorithmic bias | pt_PT |
| dc.subject | Employee section | pt_PT |
| dc.title | Ethical implications of artifical intelligence in recruitment: an examination and risk mitigation framework | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics | pt_PT |