Managing AI Wisely : From Development to Organizational Change in Practice (New Horizons in Business Analytics and Artificial Intelligence series)

Managing AI Wisely : From Development to Organizational Change in Practice (New Horizons in Business Analytics and Artificial Intelligence series)

  • ただいまウェブストアではご注文を受け付けておりません。 ⇒古書を探す
  • 製本 Hardcover:ハードカバー版/ページ数 160 p.
  • 言語 ENG
  • 商品コード 9781800887664
  • DDC分類 658.4038028563

Full Description

Artificial Intelligence (AI) is being rapidly introduced into the workplace, creating debate around what AI means for our work and organizations. This book gives grounded counterweight to provocative newspaper headlines by using in-depth case studies of eight organizations' experiences of implementing and using AI, providing readers with a solid understanding of what is actually happening in practice.

Critical yet constructive, the authors address the challenges of implementing AI: organizing for data, testing and validating, algorithmic brokering, and changing work. Using a combination of existing literature and thorough practical examples, they provide answers to questions such as: What data do I need? When is a system good enough to actually take over tasks? And how can my employees be prepared for working with AI? The book presents four recommendations for WISE management of AI, requiring work-related insights, interdisciplinary knowledge, sociotechnical change processes, and ethical awareness.

Offering insight into the unique characteristics of AI in organizations, this book will be essential reading for scholars of business and management, data analytics and information systems, technology and innovation, and computer science. With practical recommendations for managing the challenges of AI, it will also provide business managers with reflections to improve their own AI development and implementation processes.

Contents

Contents: 1. Introduction to managing AI wisely 2. What is AI? 3. Perspectives on AI and work 4. Methods and introduction to cases 5. Organizing for data 6. Testing and validating 7. Algorithmic brokers 8. Changing work 9. How can AI systems be managed wisely? Index

最近チェックした商品