Abstract:
From AI-based decision-making to Gen-AI-enabled everyday tasks, algorithms have become partners in human work. Prof. Tarafdar’s presentation will broadly address how humans can retain cognitive primacy in a world of AI-infused work processes. She will present different problematized contexts of human-LLM interaction and then show why focusing on the human is an essential compensatory approach.

About the Speaker:
Monideepa Tarafdar is Charles J. Dockendorff Endowed Professor and Public Interest Technology Fellow at Isenberg School of Management, University of Massachusetts Amherst. She is Editor-in-Chief of Journal of the AIS. She has held appointments as Visiting Scholar/Professor at MIT Sloan CISR, the London School of Economics, Indian Institute of Management Calcutta, and has been a Senior Research Fellow at Weizenbaum Internet Institute, Berlin. Her work has been published in: Science, PNAS Nexus, Information Systems Research, Journal of MIS, Journal of the AIS, Journal of Operations Management, Harvard Business Review and MIT Sloan Management Review. She is a recipient of best paper awards from the Decision Sciences Institute, INFORMS and the AIS, and is an AIS Fellow. She is listed among the top 2% cited faculty internationally (Stanford-Elsevier 2023, 2024). Her research has been featured in among others, Boston Globe, BBC World News, Chronicle of Higher Education, Economist, Guardian, Hindustan Times, MIT Technology Review, Reuters and Wired.

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