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

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

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 a...

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Bibliographic Details
Corporate Authors: O'Reilly for Higher Education (Firm), distributor (distributor), Safari, an O'Reilly Media Company (-)
Other Authors: Candelon, Fraṅois, author (author), di Carlo, Rodolphe, author, Mills, Steven, author
Format: eBook
Language:Inglés
Published: MIT Sloan Management Review 2021.
Edition:1st edition
Subjects:
Artificial intelligence.
Business > Data processing.
Business > Technological innovations.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820356606719
Description
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.
Physical Description:1 online resource (6 pages)

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