Safe and Trustworthy Machine Learning

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2889714144
Total Pages : 101 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Safe and Trustworthy Machine Learning by : Bhavya Kailkhura

Download or read book Safe and Trustworthy Machine Learning written by Bhavya Kailkhura and published by Frontiers Media SA. This book was released on 2021-10-29 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practicing Trustworthy Machine Learning

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109812023X
Total Pages : 304 pages
Book Rating : 4.38/5 ( download)

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Book Synopsis Practicing Trustworthy Machine Learning by : Yada Pruksachatkun

Download or read book Practicing Trustworthy Machine Learning written by Yada Pruksachatkun and published by "O'Reilly Media, Inc.". This book was released on 2023-01-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You'll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention

Human-Centered AI

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Publisher : Oxford University Press
ISBN 13 : 0192845292
Total Pages : 390 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Human-Centered AI by : Ben Shneiderman

Download or read book Human-Centered AI written by Ben Shneiderman and published by Oxford University Press. This book was released on 2022 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.

Trustworthy Machine Learning for Healthcare

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Author :
Publisher : Springer Nature
ISBN 13 : 3031395395
Total Pages : 207 pages
Book Rating : 4.90/5 ( download)

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Book Synopsis Trustworthy Machine Learning for Healthcare by : Hao Chen

Download or read book Trustworthy Machine Learning for Healthcare written by Hao Chen and published by Springer Nature. This book was released on 2023-07-30 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of First International Workshop, TML4H 2023, held virtually, in May 2023. The 16 full papers included in this volume were carefully reviewed and selected from 30 submissions. The goal of this workshop is to bring together experts from academia, clinic, and industry with an insightful vision of promoting trustworthy machine learning in healthcare in terms of scalability, accountability, and explainability.

Trustworthy AI

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Publisher : John Wiley & Sons
ISBN 13 : 1119867959
Total Pages : 230 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Trustworthy AI by : Beena Ammanath

Download or read book Trustworthy AI written by Beena Ammanath and published by John Wiley & Sons. This book was released on 2022-03-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

Trustworthy Machine Learning

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Publisher :
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis Trustworthy Machine Learning by : Kush R. Vashney

Download or read book Trustworthy Machine Learning written by Kush R. Vashney and published by . This book was released on 2022 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practicing Trustworthy Machine Learning

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098120248
Total Pages : 303 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis Practicing Trustworthy Machine Learning by : Yada Pruksachatkun

Download or read book Practicing Trustworthy Machine Learning written by Yada Pruksachatkun and published by "O'Reilly Media, Inc.". This book was released on 2023-01-03 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing use of AI in high-stakes domains such as medicine, law, and defense, organizations spend a lot of time and money to make ML models trustworthy. Many books on the subject offer deep dives into theories and concepts. This guide provides a practical starting point to help development teams produce models that are secure, more robust, less biased, and more explainable. Authors Yada Pruksachatkun, Matthew McAteer, and Subhabrata Majumdar translate best practices in the academic literature for curating datasets and building models into a blueprint for building industry-grade trusted ML systems. With this book, engineers and data scientists will gain a much-needed foundation for releasing trustworthy ML applications into a noisy, messy, and often hostile world. You'll learn: Methods to explain ML models and their outputs to stakeholders How to recognize and fix fairness concerns and privacy leaks in an ML pipeline How to develop ML systems that are robust and secure against malicious attacks Important systemic considerations, like how to manage trust debt and which ML obstacles require human intervention

Trustworthy AI - Integrating Learning, Optimization and Reasoning

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Author :
Publisher : Springer Nature
ISBN 13 : 3030739597
Total Pages : 278 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Trustworthy AI - Integrating Learning, Optimization and Reasoning by : Fredrik Heintz

Download or read book Trustworthy AI - Integrating Learning, Optimization and Reasoning written by Fredrik Heintz and published by Springer Nature. This book was released on 2021-04-12 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts.

Robust Machine Learning

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Publisher : Springer Nature
ISBN 13 : 9819706882
Total Pages : 180 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Robust Machine Learning by : Rachid Guerraoui

Download or read book Robust Machine Learning written by Rachid Guerraoui and published by Springer Nature. This book was released on with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

2020 54th Annual Conference on Information Sciences and Systems (CISS).

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Publisher :
ISBN 13 : 9781728140858
Total Pages : pages
Book Rating : 4.54/5 ( download)

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Book Synopsis 2020 54th Annual Conference on Information Sciences and Systems (CISS). by :

Download or read book 2020 54th Annual Conference on Information Sciences and Systems (CISS). written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: