Edité par O'Reilly Media, Incorporated, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
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Edité par O'Reilly Media 5/23/2023, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
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Ajouter au panierPaperback or Softback. Etat : New. Machine Learning for High-Risk Applications: Approaches to Responsible AI 1.64. Book.
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Ajouter au panierPaperback. Etat : New. 1st. The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development.
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Edité par O'Reilly Media 2023-05-02, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
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Ajouter au panierPaperback. Etat : New. 1st. The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development.
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Ajouter au panierPaperback. Etat : New. 1st. The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development.
Edité par O'reilly Media Jun 2023, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
Vendeur : Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. 438 pp. Englisch.
Edité par O'reilly Media Jun 2023, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. 438 pp. Englisch.
Edité par O'reilly Media Jun 2023, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.
Edité par Oreilly & Associates Inc, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 79,45
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.19x7.00x0.95 inches. In Stock.
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Ajouter au panierEtat : New. Über den AutorPatrick Hall is principal scientist at BNH.AI, where he advises Fortune 500 companies and cutting-edge startups on AI risk and conducts research in support of NIST s AI risk management framework. He also serves as v.
Edité par O'reilly Media Jun 2023, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.
Edité par O'reilly Media Jun 2023, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 438 pp. Englisch.
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Ajouter au panierPaperback. Etat : New. 1st. The past decade has witnessed a wide adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight into their widespread implementation has resulted in harmful outcomes that could have been avoided with proper oversight. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks. This book describes responsible AI, a holistic approach for improving AI/ML technology, business processes, and cultural competencies that builds on best practices in risk management, cybersecurity, data privacy, and applied social science.It's an ambitious undertaking that requires a diverse set of talents, experiences, and perspectives. Data scientists and nontechnical oversight folks alike need to be recruited and empowered to audit and evaluate high-impact AI/ML systems. Author Patrick Hall created this guide for a new generation of auditors and assessors who want to make AI systems better for organizations, consumers, and the public at large.Learn how to create a successful and impactful responsible AI practiceGet a guide to existing standards, laws, and assessments for adopting AI technologiesLook at how existing roles at companies are evolving to incorporate responsible AIExamine business best practices and recommendations for implementing responsible AILearn technical approaches for responsible AI at all stages of system development.
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.
Edité par Oreilly & Associates Inc, 2023
ISBN 10 : 1098102436 ISBN 13 : 9781098102432
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 72,92
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Ajouter au panierPaperback. Etat : Brand New. 350 pages. 9.19x7.00x0.95 inches. In Stock. This item is printed on demand.