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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Detalles Bibliográficos
Autores Corporativos: O'Reilly for Higher Education (Firm), distributor (distributor), Safari, an O'Reilly Media Company (-)
Otros Autores: Candelon, Fraṅois, author (author), di Carlo, Rodolphe, author, Mills, Steven, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: MIT Sloan Management Review 2021.
Edición:1st edition
Materias:
Artificial intelligence.
Business > Data processing.
Business > Technological innovations.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820356606719
Descripción
Sumario: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.
Descripción Física:1 online resource (6 pages)

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