« IA responsable » : différence entre les versions

Version du 15 septembre 2019 à 20:11

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Définition

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Responsible AI

is an important emerging capability for organizations, that addresses the gap in making the artificial intelligence systems more transparent, reliable, and interpretable so that organizational and societal issues of fairness, bias, legal compliance, and ethics can be addressed methodically. Accenture Responsible AI has been at the forefront of thought leadership, building the necessary infrastructure, process, and skills to help our clients build their maturity.

Source : Accenture - applied intelligence glossary

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	''' Responsible AI'''		''' Responsible AI'''

	is an important emerging capability for organizations, that addresses the gap in making the artificial intelligence systems more transparent, reliable, and interpretable so that organizational and societal issues of fairness, bias, legal compliance, and ethics can be addressed methodically. Accenture Responsible AI has been at the forefront of thought leadership, building the necessary infrastructure, process, and skills to help our clients build their maturity.		is an important emerging capability for organizations, that addresses the gap in making the artificial intelligence systems more transparent, reliable, and interpretable so that organizational and societal issues of fairness, bias, legal compliance, and ethics can be addressed methodically. Accenture Responsible AI has been at the forefront of thought leadership, building the necessary infrastructure, process, and skills to help our clients build their maturity.