Do you really need a chief AI officer? /

A chief AI officer (CAIO) can reduce AI fragmentation, lead transformational change, centralize risks, and overcome internal deficiencies. But the role can be less successful when there's cross-functional conflict and overlap, an overemphasis on AI as a solution, or excessive costs. The strateg...

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Bibliographic Details
Main Authors:	Wade, Michael (Author), Lagodny, Anja (Author), Andersen, Ann-Christin (Author), Avelines, Corinne (Author), Plueckebaum, Achim (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	[Place of publication not identified] : MIT Sloan Management Review, 2024.
Edition:	[First edition].
Series:	MITSloan management review ; reprint 66109.
Subjects:	Artificial intelligence > Management. Leadership. Strategic planning. Teams in the workplace > Management. Technological innovations > Management. Intelligence artificielle > Gestion. Planification stratégique. Équipes de travail > Gestion. Innovations > Gestion. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	A chief AI officer (CAIO) can reduce AI fragmentation, lead transformational change, centralize risks, and overcome internal deficiencies. But the role can be less successful when there's cross-functional conflict and overlap, an overemphasis on AI as a solution, or excessive costs. The strategic importance and organizational maturity of AI can help determine when a CAIO is needed. The authors lay out the pros and cons of hiring a CAIO, as well as four elements for setting up a CAIO for success.
Physical Description:	1 online resource (7 pages)