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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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AI in hiring and recruitment

AI and machine learning have great potential to make the hiring process efficient, objective, and fair, taking away human biases. However, from the talent acquisition perspective, AI and machine learning are faced with a dilemma. There is mounting evidence and case studies that show that these systems end up amplifying existing human biases. The technology has the potential to transform the recruitment industry and help organizations that are lagging behind since they end up losing top talent in competition. However, due to the inherent algorithmic bias, executives now must consider AI as an effective solution to a higher attrition rate, but also be ready for the risk of lawsuits. The American Bar Association (ABA) warns that AI hiring systems are highly risky. The group highlights the possibility of disparate impact arising from algorithm-based methods. Disparate impact can still exist even if there is no “explicit intent to discriminate.”...

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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