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AI on the front lines AI progress can stall when end users resist adoption : developers must think beyond a project's business benefits and ensure that end users' workflow concerns are addressed

AI progress can stall when end users resist adoption, so developers must extend project goals to also address end user concerns. In a study of AI-based decision support tools, the authors observed frequent misalignment between project sponsors’ needs and end users’ priorities and preferences. They f...

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Bibliographic Details
Main Authors: Kellogg, Katherine C., Sendak, Mark (Author), Balu, Suresh (Author)
Format: eBook
Language:English
Published: [Place of publication not identified] MIT Sloan Management Review 2022
Edition:[First edition]
Subjects:
Intelligence Artificielle / Logiciels
Artificial Intelligence / Computer Programs / Http://id.loc.gov/authorities/subjects/sh85008181
Artificial Intelligence / Computer Programs / Fast
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:AI progress can stall when end users resist adoption, so developers must extend project goals to also address end user concerns. In a study of AI-based decision support tools, the authors observed frequent misalignment between project sponsors’ needs and end users’ priorities and preferences. They found that when developers ensure that end users’ concerns about workflow and autonomy are addressed, conflicting stakeholder interests can be reconciled and AI tools more readily adopted
Item Description:"Reprint 63412."
Physical Description:9 pages illustrations

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