Working with AI: Real Stories of Human-Machine Collaboration


Working with AI: Real Stories of Human-Machine Collaboration

  • Author:Steven M. MillerThomas H. Davenport
  • Length: 312 pages
  • Edition: 1
  • Publisher: The MIT Press
  • Publication Date: 2022-09-27
  • ISBN-10: 0262047241
  • ISBN-13: 9780262047241
  • Sales Rank: #245692 (See Top 100 Books)
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    Book Description

    Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.

    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. 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.

    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. 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.




    这本书打破了围绕自动化和在工作中部署人工intelligence-enabled–“smart”–systems的炒作和悲观情绪。管理和技术专家托马斯·达文波特和史蒂文·米勒表明,与普遍的预测、处方和谴责相反,人工智能主要并不是一个就业破坏者。相反,人工智能通过接管一些任务而不是全部工作来改变我们的工作方式,解放人们去做其他更重要、更具挑战性的工作 工作。通过提供从金融到工厂车间等各种环境下人工智能增强工作的详细、真实世界的案例研究,达文波特和米勒还表明,工作场所的人工智能并不是未来主义猜测的东西。现在,许多公司和员工都遇到了这种情况。


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