Working with AI: Real Stories of Human-Machine Collaboration

Product Details
$34.95  $32.50
MIT Press
Publish Date
6.28 X 9.08 X 1.02 inches | 1.32 pounds

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About the Author
Thomas H. Davenport is Distinguished Professor of Information Technology and Management at Babson College, Visiting Professor at Oxford's Saïd Business School, Fellow of the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte's AI practice. He is the author of The AI Advantage (MIT Press) and coauthor of Only Humans Need Apply and other books.

Steven M. Miller is Professor Emeritus of Information Systems at Singapore Management University, where he previously served as Founding Dean of the School of Computing and Information System Vice Provost for Research. He is coauthor of Robotics Applications and Social Implications.

Included in The Enterprisers Project's "10 must-read tech books for 2023"
Included in McKinsey's Summer 2023 Reading List

"The book is aimed at managers, consultants and students planning their careers...I appreciated the accessible narratives as a diverse survey of how current technologies can expand the range of human capabilities."
--The Wall Street Journal

"When pictures are painted in such extremes of light and shade it's time to call in the experts, and in Working with AI: Real Stories of Human-Machine Collaboration, we benefit not just from the hard-won wisdom of two leaders in the field - Thomas H Davenport and Steven M Miller - but also of the people involved in the dozens of case studies presented that detail real-world applications of AI in the commercial, research and administrative space. What the authors call 'real stories of human-machine collaboration' come together over nearly 300 pages of analysis and insight to produce one of the most balanced narratives of AI in the workplace produced to date."
--E&T Magazine

"While AI has been part of Alight's ecosystem for years, this book examines how AI will change the way we work, but not necessarily destroy the way we work."

"Working with AI is by and large a hopeful work about human-machine collaboration, emphasizing that there are still many things that machines simply cannot do -- from understanding context to managing organizational change to understanding emotional situations -- and thus they will still depend on humans as much as we rely on them. That will likely remain true for us, our children, and our grandchildren."
--Civil Engineering

"Why you should read it: Curious about the implications of human collaboration with smart systems? This book shares specific use cases of humans working with AI successfully, e.g., a digital system for life insurance underwriting that analyzes applications and third-party data in real-time, allowing human underwriters to focus on more complex cases. Read this book if you want reassurance on the positive potential outcomes of AI versus the ominous view that artificial intelligence is a job stealer.
--The Enterprisers Project