Building Responsible AI Algorithms : A Framework for Transparency, Fairness, Safety, Privacy, and Robustness

Name: Building Responsible AI Algorithms
Brand: APress
SKU: 9781484293058
Price: 5050 KES
Availability: OutOfStock
ISBN: 9781484293058

by Toju Duke

Book Details

Format Paperback / softback

ISBN-10 1484293053

ISBN-13 9781484293058

Publisher APress

Imprint APress

Country of Manufacture GB

Country of Publication GB

Publication Date Aug 17th, 2023

Print length 190 Pages

Weight 332 grams

Dimensions 15.30 x 23.30 x 1.60 cms

Product Classification: Digital and information technologies: social and ethical aspects Ethical & social aspects of IT Algorithms & data structures Algorithms and data structures Artificial intelligence Artificial intelligence (AI)

KSh 5,050.00

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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

Get Building Responsible AI Algorithms by Toju Duke at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by APress and it has 190 pages.