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Cover: 9781484293058 | Building Responsible AI Algorithms | Toju Duke | Taschenbuch | xvii
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Building Responsible AI Algorithms
A Framework for Transparency, Fairness, Safety, Privacy, and Robustness
Taschenbuch von Toju Duke
Sprache: Englisch

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Beschreibung
This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts ¿ that in some cases have caused loss of life ¿ and develop models that are fair, transparent, safe, secure, and robust.
The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.
What You Will Learn
Build AI/ML models using Responsible AI frameworks and processes
Document information on your datasets and improve data quality
Measure fairness metrics in ML models
Identify harms and risks per task and run safety evaluations on ML models
Create transparent AI/ML models
Develop Responsible AI principles and organizational guidelines
Who This Book Is For
AI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms
This book introduces a Responsible AI framework and guides you through processes to apply at each stage of the machine learning (ML) life cycle, from problem definition to deployment, to reduce and mitigate the risks and harms found in artificial intelligence (AI) technologies. AI offers the ability to solve many problems today if implemented correctly and responsibly. This book helps you avoid negative impacts ¿ that in some cases have caused loss of life ¿ and develop models that are fair, transparent, safe, secure, and robust.
The approach in this book raises your awareness of the missteps that can lead to negative outcomes in AI technologies and provides a Responsible AI framework to deliver responsible and ethical results in ML. It begins with an examination of the foundational elements of responsibility, principles, and data. Next comes guidance on implementation addressing issues such as fairness, transparency, safety, privacy, and robustness. The book helps you think responsibly while building AI and ML models and guides you through practical steps aimed at delivering responsible ML models, datasets, and products for your end users and customers.
What You Will Learn
Build AI/ML models using Responsible AI frameworks and processes
Document information on your datasets and improve data quality
Measure fairness metrics in ML models
Identify harms and risks per task and run safety evaluations on ML models
Create transparent AI/ML models
Develop Responsible AI principles and organizational guidelines
Who This Book Is For
AI and ML practitioners looking for guidance on building models that are fair, transparent, and ethical; those seeking awareness of the missteps that can lead to unintentional bias and harm from their AI algorithms; policy makers planning to craft laws, policies, and regulations that promote fairness and equity in automated algorithms
Über den Autor
¿Toju Duke is a Responsible AI Program Manager at Google with over 17 years of experience spanning across advertising, retail, not-for-profits, and tech industries. She designs Responsible AI programs focused on the development and implementation of Responsible AI frameworks, processes, and tools across Google's product and research teams. Toju is also the Founder of Diverse in AI, a community interest organization with a mission to provide inclusive and diverse AI through humanity. She provides consultation and advice on Responsible AI practices to organizations worldwide.
Zusammenfassung

Builds your awareness of the potential risks and harms that AI algorithms pose

Covers the issues that must be addressed by AI practitioners in relation to responsibility and ethics

Presents a framework for implementing AI responsibly

Inhaltsverzeichnis
Part I. Foundation.- 1. Responsibility.- 2. AI Principles.- 3. Data.- Part II. Implementation.- 4. Fairness.- 5. Safety.- 6. Humans in the Loop.- 7. Explainability.- 8. Privacy.- 9. Robustness.- Part III. Ethical Considerations.- 10. Ethics of AI and ML.- Appendix A: References.
Details
Erscheinungsjahr: 2023
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xvii
190 S.
4 s/w Illustr.
1 farbige Illustr.
190 p. 5 illus.
1 illus. in color.
ISBN-13: 9781484293058
ISBN-10: 1484293053
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Duke, Toju
Auflage: First Edition
Hersteller: Apress
Apress L.P.
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 235 x 155 x 12 mm
Von/Mit: Toju Duke
Erscheinungsdatum: 17.08.2023
Gewicht: 0,324 kg
Artikel-ID: 126495045
Über den Autor
¿Toju Duke is a Responsible AI Program Manager at Google with over 17 years of experience spanning across advertising, retail, not-for-profits, and tech industries. She designs Responsible AI programs focused on the development and implementation of Responsible AI frameworks, processes, and tools across Google's product and research teams. Toju is also the Founder of Diverse in AI, a community interest organization with a mission to provide inclusive and diverse AI through humanity. She provides consultation and advice on Responsible AI practices to organizations worldwide.
Zusammenfassung

Builds your awareness of the potential risks and harms that AI algorithms pose

Covers the issues that must be addressed by AI practitioners in relation to responsibility and ethics

Presents a framework for implementing AI responsibly

Inhaltsverzeichnis
Part I. Foundation.- 1. Responsibility.- 2. AI Principles.- 3. Data.- Part II. Implementation.- 4. Fairness.- 5. Safety.- 6. Humans in the Loop.- 7. Explainability.- 8. Privacy.- 9. Robustness.- Part III. Ethical Considerations.- 10. Ethics of AI and ML.- Appendix A: References.
Details
Erscheinungsjahr: 2023
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xvii
190 S.
4 s/w Illustr.
1 farbige Illustr.
190 p. 5 illus.
1 illus. in color.
ISBN-13: 9781484293058
ISBN-10: 1484293053
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Duke, Toju
Auflage: First Edition
Hersteller: Apress
Apress L.P.
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 235 x 155 x 12 mm
Von/Mit: Toju Duke
Erscheinungsdatum: 17.08.2023
Gewicht: 0,324 kg
Artikel-ID: 126495045
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