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Can we solve AI's 'trust problem'? to address users' wariness, makers of AI applications should stop overpromising, become more transparent, and consider third-party certification

Many people don't trust decisions, answers, or recommendations from artificial intelligence. To address that problem, makers of AI applications and systems should stop overpromising, be more transparent about how systems are used, and consider third-party certification

Bibliographic Details
Main Author: Davenport, Thomas H.
Format: eBook
Language:English
Published: [Cambridge, Massachusetts] MIT Sloan Management Review 2018
Subjects:
Electronic Books
Technological Innovations ; Economic Aspects
Electronic Books ; Local
Artificial Intelligence ; Economic Aspects
Artificial Intelligence ; Industrial Applications
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Many people don't trust decisions, answers, or recommendations from artificial intelligence. To address that problem, makers of AI applications and systems should stop overpromising, be more transparent about how systems are used, and consider third-party certification
Item Description:Place of publication from publisher's website. - Adapted from the author's The AI advantage (MIT Press, 2018). - "Reprint #60217.". - Includes bibliographical references. - Description based on online resource; title from cover (Safari, viewed April 29, 2019)
Physical Description:1 volume

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