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You're reading from  Responsible AI in the Enterprise

Product typeBook
Published inJul 2023
PublisherPackt
ISBN-139781803230528
Edition1st Edition
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Authors (2):
Adnan Masood
Adnan Masood
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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
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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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To get the most out of this book

To get the most out of this book, it is important to understand the context and target audience. This book is focused on responsible AI and machine learning model governance, providing in-depth coverage of key concepts such as explainable and ethical AI, bias in AI systems, model interpretability, model governance and compliance, fairness and accountability in AI, data governance, upskilling, and education for ethical AI. The target audience includes data scientists, machine learning engineers, AI practitioners, IT professionals, business stakeholders, and AI ethicists who are responsible for building and deploying AI models in their organizations.

To maximize the benefits of this book, you should have a basic understanding of machine learning and AI. It is recommended to read the chapters in order to build a comprehensive understanding of the topics covered. Additionally, the hands-on examples and practical guidance provided in the book can be applied to real-world situations and can be used as a reference for future projects.

We sincerely hope you enjoy reading this book as much as we enjoyed writing it.

Software/hardware covered in the book

Operating system requirements

Jupyter Notebook (Python 3.x)

Windows, macOS, or Linux

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

This book is filled with references to the classic science fiction novel, The Hitchhiker’s Guide to the Galaxy, one of my favorite books of all time. So, excuse the puns and whimsical language as I pay homage to the humor and creativity of Douglas Adams. May this book guide you on your own journey through the world of AI and machine learning, just as the Guide guided Arthur Dent on his interstellar adventures.

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Responsible AI in the Enterprise
Published in: Jul 2023Publisher: PacktISBN-13: 9781803230528

Authors (2)

author image
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

author image
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