AI Accountability Build Responsible and Transparent Systems

AI Accountability Build Responsible and Transparent Systems

with Barton Poulson
Electronic Video - 2022

Learn why it's absolutely crucial for AI-related data science work to be transparent, explainable, accountable, and ethical in its design and execution.

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Detalles Bibliográficos
Autor Corporativo: linkedin.com (Firm)
Otros Autores: Poulson, Barton (Orador)
Formato: Electrónico Video
Lenguaje:English
Publicado: Carpenteria, CA linkedin.com, 2022.
Materias:
Acceso en línea:View course details on linkedin.com/learning

MARC

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520 |a Learn why it's absolutely crucial for AI-related data science work to be transparent, explainable, accountable, and ethical in its design and execution. 
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520 |a Artificial intelligence (AI) offers businesses the potential for a dramatic increase in functionality and profitability, but it can also spark an array of complex ethical, legal, and social challenges. In this nontechnical, conceptually oriented course, Barton Poulson digs into the hazards of AI, offering potential solutions to key concerns. Barton explores the ethical issues posed by AI, including competing concepts of fairness and moral reasoning. He also goes over social concerns and safety challenges for AI, such as potential life-and-death scenarios in autonomous driving. Barton concludes with recommendations tailored to developers, executives, PR professionals, regulators, and consumers to help them reap the potential of AI in a manner that's worthy of trust and profitable to all. 
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