Berente, NicholasGu, BinRecker, JanSanthanam, Radhika2022-03-292021-09-01N. Berente, B. Gu, J. Recker, R. Santhanam. 2021. "Managing Artificial Intelligence." MIS Quarterly, Volume 45, Issue 3, pp. 1433 - 1450. https://doi.org/10.25300/MISQ/2021/162740276-7783https://hdl.handle.net/2144/44096Managing artificial intelligence (AI) marks the dawn of a new age of information technology management. Managing AI involves communicating, leading, coordinating, and controlling an ever-evolving frontier of computational advancements that references human intelligence in addressing ever more complex decisionmaking problems. It means making decisions about three related, interdependent facets of AI—autonomy, learning, and inscrutability—in the ongoing quest to push the frontiers of performance and scope of AI. We demonstrate how the frontiers of AI have shifted with time, and explain how the seven exemplar studies included in this special issue are helping us learn about management at the frontiers of AI. We close by speculating about future frontiers in managing AI and what role information systems scholarship has in exploring and shaping this future.p. 1433 - 1450en-USCopyright © 2021 by the Management Information Systems Research Center (MISRC) of the University of Minnesota. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the MISRC must be honored. Abstracting with credit is permitted. To copy otherwise, to post on servers, or to redistribute to lists requires prior specific permission and possibly a fee. Request permission to publish from: MIS Quarterly; Carlson School of Management; University of Minnesota; 321 19th Ave. So.; Minneapolis, MN 55455. ISSN: 0276-7783.Article10.25300/MISQ/2021/16274644741