Print Email Facebook Twitter Design approaches to tackle ethical issues for proficiency estimation in AI-enabled recruitment Title Design approaches to tackle ethical issues for proficiency estimation in AI-enabled recruitment Author Lesichkov, Lassie (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Intelligent Systems) Contributor Aizenberg, E. (mentor) Lagendijk, R.L. (graduation committee) Hung, H.S. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-02 Abstract Companies have been looking for automation in their hiring practices and Artificial Intelligence offers a solution. A popular opinion on the topic is that AI-enabled hiring will enhance talent acquisition overall, eliminating bias and bettering results. However, deployed AI hiring tools often do not offer a solution but worsen the problem by violating ethical and moral barriers. Thus, it is crucial to consider the socio-technical perspective of this topic when designing software systems integrated into hiring practices. As part of AI-enabled recruitment, CV screening software is deployed in numerous conglomerates worldwide and is the centre of attention of this paper. The theoretical results delivered via this research originate from a variety of scientific articles of a multi-disciplinary nature. This paper examines how CV screening software can be designed to estimate professional proficiency while taking into consideration the needs and moral values of the stakeholders involved. A literature study has been conducted to derive the results. The research examines three design methodologies (Systemic design, Value Sensitive Design and Human-centered design) that help the design team to address the aforementioned issues and considers their impact on the design process of a CV screening tool regarding proficiency evaluation. The results of the paper conclude that it is crucial to assemble a design team that is multi-disciplinary in nature to elicit and embed the stakeholders' values into the design of a technical system of this nature. Subject AI ethicssocio-technical systemsrecruitmentDesign methodology To reference this document use: http://resolver.tudelft.nl/uuid:864debc8-6226-40b0-9bcb-6e8d5faecf08 Part of collection Student theses Document type bachelor thesis Rights © 2021 Lassie Lesichkov Files PDF Research_project_Lachezar ... ichkov.pdf 268.03 KB Close viewer /islandora/object/uuid:864debc8-6226-40b0-9bcb-6e8d5faecf08/datastream/OBJ/view