As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students.
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Rahul K. Patel is a seasoned Cyber Security professional with over 25 years of experience defending the Availability, Confidentiality, and Integrity of information assets in the high-tech, banking, and government organizations. Rahul Patel holds a PhD in Management of Information Systems from Northcentral University and many professional cybersecurity certifications.
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Hardcover. Condición: new. Hardcover. As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798337369358
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Hardcover. Condición: new. Hardcover. As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337369358
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Buch. Condición: Neu. AI Safety and Preventing Harm in AI Systems | Rahul K. Patel | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337369358 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134617351
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Hardcover. Condición: new. Hardcover. As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9798337369358
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students. Nº de ref. del artículo: 9798337369358
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