AI-at-Scale Hinges on Gaining a 'Social License' /

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Bibliographic Details
Author / Creator:Candelon, François, author.
Edition:1st edition.
Imprint:MIT Sloan Management Review, 2021.
Description:1 online resource (6 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13695326
Hidden Bibliographic Details
Other authors / contributors:di Carlo, Rodolphe, author.
Mills, Steven, author.
O'Reilly for Higher Education (Firm), distributor.
Safari, an O'Reilly Media Company.
Digital file characteristics:text file
Notes:Made available through: Safari, an O'Reilly Media Company.
Online resource; Title from title page (viewed October 7, 2021).
Summary:For AI deployments to succeed, the systems must be trusted and accepted by those who use their input and those who are affected by the decisions these systems make or support. That means being accountable for the use and outputs of AI technologies, and transparently communicating both the benefits and drawbacks to all stakeholders. The authors describe the three sources of stakeholders' trust in artificial intelligence and suggest four steps companies can take to earn that trust.
Standard no.:53863MIT63222