Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safe

Description: FREE SHIPPING UK WIDE Building Responsible AI Algorithms by Toju Duke Intermediate-Advanced user level FORMAT Paperback CONDITION Brand New Publisher Description 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 LearnBuild AI/ML models using Responsible AI frameworks and processesDocument information on your datasets and improve data qualityMeasure fairness metrics in ML modelsIdentify harms and risks per task and run safety evaluations on ML modelsCreate transparent AI/ML modelsDevelop Responsible AI principles and organizational guidelinesWho This Book Is ForAI 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 Author Biography 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 Googles 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. Table of Contents 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 ISBN1484293053 Author Toju Duke Publisher APress Year 2023 Edition 1st ISBN-13 9781484293058 Format Paperback Imprint APress Subtitle A Framework for Transparency, Fairness, Safety, Privacy, and Robustness Place of Publication Berkley Country of Publication United States AU Release Date 2023-10-09 NZ Release Date 2023-10-09 UK Release Date 2023-10-09 Audience Professional & Vocational Pages 190 Edition Description 1st ed. ISBN-10 1484293053 DEWEY 006.3 Illustrations 1 Illustrations, color; 4 Illustrations, black and white; XVII, 190 p. 5 illus., 1 illus. in color. Publication Date 2023-08-17 US Release Date 2023-08-17 Alternative 9798868806254 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:143607640;

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