Människa möter maskin: AI:s roll i framtidens HR: En studie om rekryteringsfunktionens syn på artificiell intelligens som medarbetare
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesisAlternative title
Human Meets Machine: The Role of AI in the Future of HR : A Study on the Recruitment Function's Perspective on Artificial Intelligence as a Co-worker (English)
Abstract [en]
The purpose of this study was to contribute to an increased understanding of how AI toolscan be used in recruitment. This study clarifies the opportunities, challenges and attitudesassociated with the use of AI in recruitment processes. Adopting a qualitative researchapproach through semi-structured interviews, this study shows the insights of HRprofessionals from a big IT company. Based on this, our research question were as follows:What opportunities and challenges are perceived in relation to the use of AI in recruitment?This study examines respondents' attitudes towards the use of AI in recruitment, revealing amix of curiosity and caution. While some respondents appreciate AI's potential for improvingefficiency and fairness, such as by evaluating resumes and coding tests more objectively,there is significant concern about the loss of human elements, particularly in personalinteractions and cultural fit. Respondents emphasize the irreplaceable value of face-to-faceinterviews for understanding candidates beyond their qualifications on paper. The findingshighlight both the opportunities and challenges of integrating AI into recruitment processes,stressing the need for a balanced approach that retains essential human judgment. These arevaluable insights to consider before implementing AI in recruitment and importantinformation for everyone involved in recruitment process.
Place, publisher, year, edition, pages
2024. , p. 33
Series
Informatik Student Paper Bachelor (INFSPB) ; 2024:25
Keywords [en]
Artificial intelligence, Recruitment, HRM, Efficiency in recruitment, Organizational culture
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-225600OAI: oai:DiVA.org:umu-225600DiVA, id: diva2:1865319
External cooperation
Anonym
Educational program
Programme in Behavioural Analysis of IT-Environments
Supervisors
Examiners
2024-06-052024-06-042024-06-05Bibliographically approved