You're reading from Responsible AI in the Enterprise

Product typeBook

Published inJul 2023

PublisherPackt

ISBN-139781803230528

Edition1st Edition

Concepts

Artificial Intelligence

Authors (2):

Adnan Masood

Heather Dawe

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Part 2: Enterprise Risk Observability Model Governance

This section introduces the critical topics of explainability, risk observability, and model governance, and their relevance in the context of cloud computing platforms. The upcoming chapters cover several essential areas, such as model interpretability approaches, measuring and monitoring model drift, audit and compliance standards, and the Enterprise Starter Kit for Fairness, Accountability, and Transparency. The section also explores the concepts of bias removal, model robustness, and adversarial attacks. By reading through the chapters, you will gain a comprehensive understanding of these significant concepts and their impact on the development and deployment of AI models, enabling you to make informed decisions and ensure the ethical and trustworthy use of AI. These topics are discussed in detail across four chapters to provide you with a comprehensive understanding of these important concepts.

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Published in: Jul 2023Publisher: PacktISBN-13: 9781803230528

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Authors (2)

Adnan Masood

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
Read more about Adnan Masood

Heather Dawe

Heather Dawe, MSc. is a renowned data and AI thought leader with over 25 years of experience in the field. Heather has innovated with data and AI throughout her career, highlights include developing the first data science team in the UK public sector and leading on the development of early machine learning and AI assurance processes for the National Health Service (NHS) in England. Heather currently works with large UK Enterprises, innovating with data and technology to improve services in the health, local government, retail, manufacturing, and finance sectors. A STEM Ambassador and multidisciplinary data science pioneer, Heather also enjoys mountain running, rock climbing, painting, and writing. She served as a jury member for the 2021 Banff Mountain Book Competition and guest edited the 2022 edition of The Himalayan Journal. Heather is the author of several books inspired by mountains and has written for national and international print publications including The Guardian and Alpinist.
Read more about Heather Dawe

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