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Responsible Artificial Intelligence: Challenges for Sustainable Management
Responsible Artificial Intelligence: Challenges for Sustainable Management
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- More about Responsible Artificial Intelligence: Challenges for Sustainable Management
This book explores the intersection of artificial intelligence and social responsibility, discussing how they influence each other and presenting case studies from companies dealing with AI challenges. It emphasizes the opportunities AI offers for companies and highlights the importance of stakeholder involvement in the design process to build trust and contribute to the innovation and acceptance of AI.
Format: Paperback / softback
Length: 294 pages
Publication date: 02 February 2024
Publisher: Springer International Publishing AG
Artificial intelligence (AI) and social responsibility are two critical topics that dominate the business landscape. This comprehensive book delves into the theoretical and practical interplay between these two domains, drawing insights from ongoing scientific discussions and real-world case studies. It emphasizes the immense opportunities that AI presents for companies across various industries, while also addressing the challenges posed by new corporate social responsibility (CSR) requirements.
The book explores how companies can navigate the tension between AI and CSR challenges, creating strategic opportunities for innovation and acceptance. It highlights the importance of active stakeholder involvement in the design process, fostering trust among customers and the public and contributing to the innovation and widespread adoption of AI.
The book is a valuable resource for researchers and practitioners in the fields of CSR, AI, and digitalization. The chapter "Exploring AI with Purpose" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com, allowing readers to further explore the topics covered in the book.
Weight: 480g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031092473
Edition number: 1st ed. 2023
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