Responsible AI: Implementing Ethical and Unbiased Algorithms


Responsible AI: Implementing Ethical and Unbiased Algorithms
Authors: Agarwal
Year: 2021
Publisher: Springer
Language: English
ISBN 13: 9783030769772
ISBN 10: 3030769771
Categories: Computers, Computer Science
Pages: 320 / 319
Edition: 1

Availability: 5000 in stock

SKU: 9783030769772 Categories: ,

Responsible AI: Implementing Ethical and Unbiased Algorithms Agarwal, Sray, Mishra, Shashin
This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination.  The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. Each chapter covers the fundamentals for the topic and then goes deep into the subject matter – providing the details that enable the business analysts and the data scientists to implement these fundamentals.  AI research is one of the most active and growing areas of computer science and statistics. This book includes an overview of the many techniques that draw from the research or are created by combining different research outputs. Some of the techniques from relevant and  popular libraries are covered, but deliberately not drawn very heavily from as they are already well documented, and new research is likely to replace some of it. Categories:
Computers – Computer Science
ISBN 10:
ISBN 13:
45 MB


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Responsible AI: Implementing Ethical and Unbiased Algorithms

Availability: 5000 in stock