Socio-economic Impact of Artificial Intelligence: A European Management Perspective (Progress in IS)

Socio-economic Impact of Artificial Intelligence:A European Management Perspective (Progress in IS)

Socio-economic Impact of Artificial Intelligence:A European Management Perspective (Progress in IS)

by: G. Roberto Marseglia (Editor), Pietro Previtali (Editor), Alessandro Reali (Editor)

Publisher: Springer

Edition: 2024th

Publication Date: 2025-01-30

Language: English

Print Length: 274 pages

ISBN-10: 3031735137

ISBN-13: 9783031735134

Book Description

This edited volume discusses ethical issues raised by the use of artificial intelligence (AI) in business. Written by academics and practitioners across Europe, this volume provides a regional management perspective on the consequences of AI, including potential effects on the business models of companies, strategic considerations regarding the construction of data-literate companies and workforces, and the limits and opportunities of proposed EU regulations. Providing a forum to hypothesise solutions for accelerating technology adoption while guaranteeing human dignity, this book will be valuable for researchers and students interested in management, AI, fintech, information systems, and sustainable business as well as managers and practitioners navigating the challenges of a data-driven future.

Editorial Reviews

This edited volume discusses ethical issues raised by the use of artificial intelligence (AI) in business. Written by academics and practitioners across Europe, this volume provides a regional management perspective on the consequences of AI, including potential effects on the business models of companies, strategic considerations regarding the construction of data-literate companies and workforces, and the limits and opportunities of proposed EU regulations. Providing a forum to hypothesise solutions for accelerating technology adoption while guaranteeing human dignity, this book will be valuable for researchers and students interested in management, AI, fintech, information systems, and sustainable business as well as managers and practitioners navigating the challenges of a data-driven future.

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