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Responsible AI in Practice

- A Practical Guide to Safe and Human AI
Af: Toju Duke, Paolo Giudici Engelsk Paperback

Responsible AI in Practice

- A Practical Guide to Safe and Human AI
Af: Toju Duke, Paolo Giudici Engelsk Paperback
Tjek vores konkurrenters priser
This book is the first practical book on AI risk assessment and management. It will enable you to evaluate and implement safe and accurate AI models and applications. The book features risk assessment frameworks, statistical metrics and code, a risk taxonomy curated from real-world case studies, and insights into AI regulation and policy, and is an essential tool for AI governance teams, AI auditors, AI ethicists, machine learning (ML) practitioners, Responsible AI practitioners, and computer science and data science students building safe and trustworthy AI systems across businesses, organizations, and universities.  The centerpiece of this book is a risk management and assessment framework titled “Safe Human-centered AI (SAFE-HAI),” which highlights AI risks across the following Responsible AI principles: accuracy, sustainability and robustness, explainability, transparency and accountability, fairness, privacy and human rights, human-centered AI, and AI governance. Using several statistical metrics such as Area Under Curve (AUC), Rank Graduation Accuracy, and Shapley values, you will learn to apply Lorenz curves to measure risk and inequality across the different principles and will be equipped with a taxonomy/scoring rubric to identify and mitigate identified risks.  This book is a true practical guide and covers a real-world case study using the proposed SAFE-HAI framework. The book will help you adopt standards and voluntary codes of conduct in compliance with AI risk and safety policies and regulations, including those from the NIST (National Institute of Standards and Technology) and EU AI Act (European Commission).  What You Will LearnKnow the key principles behind Responsible AI and associated risksBecome familiar with risk assessment frameworks, statistical metrics, and mitigation measures for identified risksBe aware of the fundamentals of AI regulations and policies and how to adopt themUnderstand AI governance basics and implementation guidelines Who This Book Is ForAI governance teams, AI auditors, AI ethicists, machine learning (ML) practitioners, Responsible AI practitioners, and computer science and data science students building safe and trustworthy AI systems across businesses, organizations, and universities
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
This book is the first practical book on AI risk assessment and management. It will enable you to evaluate and implement safe and accurate AI models and applications. The book features risk assessment frameworks, statistical metrics and code, a risk taxonomy curated from real-world case studies, and insights into AI regulation and policy, and is an essential tool for AI governance teams, AI auditors, AI ethicists, machine learning (ML) practitioners, Responsible AI practitioners, and computer science and data science students building safe and trustworthy AI systems across businesses, organizations, and universities.  The centerpiece of this book is a risk management and assessment framework titled “Safe Human-centered AI (SAFE-HAI),” which highlights AI risks across the following Responsible AI principles: accuracy, sustainability and robustness, explainability, transparency and accountability, fairness, privacy and human rights, human-centered AI, and AI governance. Using several statistical metrics such as Area Under Curve (AUC), Rank Graduation Accuracy, and Shapley values, you will learn to apply Lorenz curves to measure risk and inequality across the different principles and will be equipped with a taxonomy/scoring rubric to identify and mitigate identified risks.  This book is a true practical guide and covers a real-world case study using the proposed SAFE-HAI framework. The book will help you adopt standards and voluntary codes of conduct in compliance with AI risk and safety policies and regulations, including those from the NIST (National Institute of Standards and Technology) and EU AI Act (European Commission).  What You Will LearnKnow the key principles behind Responsible AI and associated risksBecome familiar with risk assessment frameworks, statistical metrics, and mitigation measures for identified risksBe aware of the fundamentals of AI regulations and policies and how to adopt themUnderstand AI governance basics and implementation guidelines Who This Book Is ForAI governance teams, AI auditors, AI ethicists, machine learning (ML) practitioners, Responsible AI practitioners, and computer science and data science students building safe and trustworthy AI systems across businesses, organizations, and universities
Produktdetaljer
Sprog: Engelsk
Sider: 212
ISBN-13: 9798868811654
Indbinding: Paperback
Udgave:
ISBN-10: 8868811650
Udg. Dato: 25 jan 2025
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Oplagsdato: 25 jan 2025
Forfatter(e): Toju Duke, Paolo Giudici
Forfatter(e) Toju Duke, Paolo Giudici


Kategori Kunstig intelligens


ISBN-13 9798868811654


Sprog Engelsk


Indbinding Paperback


Sider 212


Udgave


Længde 0mm


Bredde 155mm


Højde 235mm


Udg. Dato 25 jan 2025


Oplagsdato 25 jan 2025


Forlag Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

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