<p>Rapid advances in artificial intelligence (AI) are manifesting in increasingly sophisticated technologies and systems contributing to the digital transformation of organizations. These technological innovations involve the use of automation agents adding value through increased efficiency, effectiveness, service quality, and other performance-related dimensions.&#xa0;</p><p>Motivated by the possibilities afforded by AI in organizational contexts of use, as well as by the challenges associated with AI, this book provides a comprehensive view of the considerations involved in designing AI-enabled systems, their application in the workplace, and the corresponding user experience. To this end, the book presents conceptual and empirical scientific perspectives on the design of human-centered AI, as well as case studies from multiple industries ranging from aerospace and automotive to retail, finance, and healthcare. These perspectives and evidence enable readers to consider and plan their own use cases for human-centered AI in the workplace.&#xa0;</p><p>The book will be of interest to researchers and practitioners alike involved in the governance, design, development, implementation, and maintenance of human-AI-driven systems.</p>

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The Design of Human-Centered Artificial Intelligence for the Workplace

摘要

Rapid advances in artificial intelligence (AI) are manifesting in increasingly sophisticated technologies and systems contributing to the digital transformation of organizations. These technological innovations involve the use of automation agents adding value through increased efficiency, effectiveness, service quality, and other performance-related dimensions. 

Motivated by the possibilities afforded by AI in organizational contexts of use, as well as by the challenges associated with AI, this book provides a comprehensive view of the considerations involved in designing AI-enabled systems, their application in the workplace, and the corresponding user experience. To this end, the book presents conceptual and empirical scientific perspectives on the design of human-centered AI, as well as case studies from multiple industries ranging from aerospace and automotive to retail, finance, and healthcare. These perspectives and evidence enable readers to consider and plan their own use cases for human-centered AI in the workplace. 

The book will be of interest to researchers and practitioners alike involved in the governance, design, development, implementation, and maintenance of human-AI-driven systems.