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> Blog > AI News > Working with AI: Real Stories of Human-Machine Collaboration
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Working with AI: Real Stories of Human-Machine Collaboration

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Last updated: 2022/04/28 at 1:13 AM
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This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer.

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Using artificial intelligence to make publishing profitable.Love, AI and Robots – Love stories from the future.About the AuthorsTop 10 AI books for beginnersShare this:
Working with AI: Real Stories of Human-Machine Collaboration
Working with AI: Real Stories of Human-Machine Collaboration

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work.

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09/20/2023 09:41 pm GMT

Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers.

Using artificial intelligence to make publishing profitable.

These cases include 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; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation.

Love, AI and Robots – Love stories from the future.

For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.

We recommend folks who want to learn about AI read Working with AI: Real Stories of Human-Machine Collaboration.

About the Authors

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.

Top 10 AI books for beginners

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.

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admin April 28, 2022 April 28, 2022
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