AI in Academic Workplace

Artificial intelligence (AI), once imagined only in science fiction, is now ubiquitous in the reality of modern life. It influences everything from personalized shopping recommendations (Rane et al., 2024) to advanced medical diagnoses (Al Kuwaiti et al., 2023; Khanam et al., 2024; Maleki Varnosfaderani & Forouzanfar, 2024). Redefining the models of analysis and learning, AI is quickly becoming a fundamental component of higher education as universities embrace AI tools for curriculum development, assessments, teaching, research, individualized instruction, and preparation for technological readiness in the workforce (Shah, 2023). However, the perception and adoption of these tools vary among university faculty members due to several critical components, some of which include familiarity, effective integration, ethics, and trust in AI (Richardson et al., 2024). Two relatively unexplored factors contributing to the comfortability of university faculty integration of AI are digital literacy and perceived job security.

Publication Details

Journal
Journal of Fundamental & Applied Business Research
Published
2025-01-01
DOI
https://doi.org/10.70623/wnvy3304
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

AI in Academic Workplace

Journal of Fundamental & Applied Business Research
Digital Transformation in Industry
article

AI in Academic Workplace

article en

Abstract

Artificial intelligence (AI), once imagined only in science fiction, is now ubiquitous in the reality of modern life. It influences everything from personalized shopping recommendations (Rane et al., 2024) to advanced medical diagnoses (Al Kuwaiti et al., 2023; Khanam et al., 2024; Maleki Varnosfaderani & Forouzanfar, 2024). Redefining the models of analysis and learning, AI is quickly becoming a fundamental component of higher education as universities embrace AI tools for curriculum development, assessments, teaching, research, individualized instruction, and preparation for technological readiness in the workforce (Shah, 2023). However, the perception and adoption of these tools vary among university faculty members due to several critical components, some of which include familiarity, effective integration, ethics, and trust in AI (Richardson et al., 2024). Two relatively unexplored factors contributing to the comfortability of university faculty integration of AI are digital literacy and perceived job security.

Journal of Fundamental & Applied Business ResearchVol. 3(1)
Openalex Percentile: Top 76%
Digital Transformation in Industry
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