By Ashneet Kaur, Sudhanshu Maheshwari, Indranil Bose and Dr. Simarjeet Singh
Academy of Management | July 2024
https://doi.org/10.5465/AMPROC.2024.15486abstract
Ashneet Kaur, Sudhanshu Maheshwari, Indranil Bose, and Dr. Simarjeet Singh, 2024: Decoding the Impact of Artificial Intelligence on Employee Privacy: A Systematic Literature Review. Proceedings, 2024, https://doi.org/10.5465/AMPROC.2024.15486abstract
Academy of Management, July 2024
This systematic literature review examines the implications of Artificial Intelligence (AI) on employee privacy in organizational settings. The study assesses the compromise or safeguarding of privacy by AI technologies, explores the costs and benefits of AI adoption regarding employee privacy, and discusses the impact of advancing AI algorithms on employee privacy. Using the privacy calculus framework, the paper highlights the trade-offs organizations face in managing employee privacy amid AI integration. By navigating the evolving landscape of AI technologies, the research identifies challenges and opportunities, offering valuable insights for academics and practitioners. The review serves as a roadmap for future research, contributing to the understanding of AI's impact on employee privacy.
Dr. Ashneet Kaur is an faculty in Organisation Behavior at the Indian School of Business (ISB). Her work lies at the intersection of strategic HRM, technology (including AI), and entrepreneurship, with a focus on how organisations design people systems to enable agility, scale, and sustained performance.
She holds a PhD from IIM Ahmedabad and has prior experience in both academia and consulting, having worked on projects with leading organisations such as McKinsey and Deloitte. Her research explores contemporary HR challenges in startups, small, and large organisations, particularly in contexts of rapid growth and digital transformation.
Beyond research and teaching, she actively engages with industry through leadership development programs, consulting, and board-level roles. Her work aims to bridge rigorous academic insights with real-world managerial practice.
