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dc.contributor.authorHaight, Annika Maren
dc.contributor.authorJohnson, Elizabeth Solveig
dc.date.accessioned2024-01-03T09:06:44Z
dc.date.available2024-01-03T09:06:44Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/11250/3109467
dc.descriptionMasteroppgave(MSc) in Master of Science in Leadership and Organizational Psychology - Handelshøyskolen BI, 2023en_US
dc.description.abstractThis paper examines the ethical challenges HR practitioners face when integrating AI recruiting tools into their selection processes. The study identifies key areas of ethical concern, including privacy, AI performance, and transparency and accountability. To address these concerns, the paper introduces the Coping Strategies for AI Recruiting Maturity Model (CS for AIR-MM), which offers a comprehensive framework for managing ethical AI recruiting practices. By utilizing this model, organizations can assess their AI-driven recruitment practices, identify areas in need for improvement, and implement measures to uphold ethical standards. Accordingly, the CS for AIR-MM acts as a valuable tool for HR practitioners to facilitate ethical AI recruiting practices.en_US
dc.language.isoengen_US
dc.publisherHandelshøyskolen BIen_US
dc.subjectledelseen_US
dc.subjectorganisasjonspsykologien_US
dc.subjectleadershipen_US
dc.subjectorganizational psychologyen_US
dc.titleCoping with Ethical Challenges in AI Recruitingen_US
dc.typeMaster thesisen_US


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