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
Clasificación:Libro Electrónico
Autores principales: Candelon, François (Autor), di Carlo, Rodolphe (Autor), Mills, Steven (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: MIT Sloan Management Review, 2021.
Edición:1st edition.
Temas:
Artificial intelligence.
Business > Data processing.
Business > Technological innovations.
Artificial Intelligence
Intelligence artificielle.
Gestion > Informatique.
Affaires > Innovations.
artificial intelligence.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
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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