Exploring students' perspectives on AI-based recruitment processes: Challenges and job readiness

dc.contributor.advisorShukla, Dhirendra
dc.contributor.advisorChaurasia, Sushil S.
dc.contributor.authorKrishnasamy, Kiruthika
dc.date.accessioned2024-05-21T13:49:33Z
dc.date.available2024-05-21T13:49:33Z
dc.date.issued2024-03
dc.description.abstractIn today's job market, the increasing use of artificial intelligence (AI) in recruitment processes poses challenges for students. This project report examines students' concerns and challenges regarding artificial intelligence in recruitment processes. Students fear AI's impact on critical thinking and creativity, uncertainty about selection criteria, and the lack of human interaction. To address these issues, the study systematically collected and analyzed data from STEM and Non-STEM students, aiming to construct a theory grounded in empirical evidence. Findings underscore the importance of addressing students' anxiety, promoting continuous learning, and enhancing transparency in AI systems to foster a more equitable recruitment environment. These insights offer valuable guidance for organizations and educational institutions seeking to adapt to the evolving dynamics of AI-driven recruitment processes.
dc.description.copyright© Kiruthika Krishnasamy, 2024
dc.format.extentix, 55
dc.format.mediumelectronic
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/37821
dc.language.isoen
dc.publisherUniversity of New Brunswick
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineManagement
dc.titleExploring students' perspectives on AI-based recruitment processes: Challenges and job readiness
dc.typemaster report
oaire.license.conditionother
thesis.degree.disciplineManagement
thesis.degree.grantorUniversity of New Brunswick
thesis.degree.levelmasters
thesis.degree.nameM.B.A.

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