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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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Policies and regulations

In this section, we will review the national policies and regulations pertaining to AI in various countries and regions. It is important to note the nuances, in similarities as well as differences, in these policies, since AI has a wide-ranging global impact.

United States

The United States (.U.S.) currently lacks a comprehensive regulation for AI at a national (federal) level. There have been a few different initiatives in the pipeline, including the Algorithmic Accountability Act, which aims to address the issues surrounding AI bias and discrimination. One notable effort is the National Institute of Standards and Technology (NIST) initiative called Towards a Standard for Identifying and Managing Bias in Artificial Intelligence. This initiative seeks to develop a framework to assess and mitigate biases in AI systems, focusing on transparency, explainability, and fairness. In the absence of an all-encompassing national standard to govern AI models, states...

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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