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Responsible Artificial Intelligence : Challenges for Sustainable Management / edited by René Schmidpeter, Reinhard Altenburger.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- CSR, sustainability, ethics & governance 2196-7083
- CSR, Sustainability, Ethics & Governance, 2196-7083
- Language:
- English
- Subjects (All):
- Strategic planning.
- Leadership.
- Business information services.
- Business ethics.
- Corporate governance.
- Sustainability.
- Artificial intelligence.
- Business Strategy and Leadership.
- IT in Business.
- Business Ethics.
- Corporate Governance.
- Artificial Intelligence.
- Local Subjects:
- Business Strategy and Leadership.
- IT in Business.
- Business Ethics.
- Corporate Governance.
- Sustainability.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (XV, 294 pages) : 1 illustrations
- Edition:
- 1st ed. 2023.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2023.
- System Details:
- text file PDF
- Summary:
- Artificial intelligence - and social responsibility. Two topics that are at the top of the business agenda. This book discusses in theory and practice how both topics influence each other. In addition to impulses from the current often controversial scientific discussion, it presents case studies from companies dealing with the specific challenges of artificial intelligence. Particular emphasis is placed on the opportunities that artificial intelligence (AI) offers for companies from different industries. The book shows how dealing with the tension between AI and challenges caused by new corporate social responsibility creates strategic opportunities and also innovation opportunities. It highlights the active involvement of stakeholders in the design process, which is meant to build trust among customers and the public and thus contributes to the innovation and acceptance of artificial intelligence. The book is aimed at researchers and practitioners in the fields of corporate social responsibility as well as artificial intelligence 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.
- Contents:
- Foreword
- 1.Artificial Intelligence - Management Challenges and Responsibility
- 2.Artificial Intelligence: Companion to a New Human "Measure"? - a brief outlook
- 3.AI-Governance for a prosperous future
- 4.Governance of Collaborative AI Development Strategies
- 5.Responsible AI Adoption through Private Sector Governance
- 6.Mastering Trustful Artificial Intelligence
- 7.echnology serves people - Democratizing Analytics and AI in the BMW production system
- 8.Sustainability and artificial intelligence in the context of a corporate startup program
- 9.Exploring AI with Purpose
- 10.Developing Responsible AI Business model
- 11.ESG Fingerprint - how Big Data and Artificial Intelligence can support investors, companies and stakeholders?
- 12.It's only a bot! How adversarial chatbots can be a vehicle to teach responsible AI
- 13.Concerted actions to integrate Corporate Social Responsibility with AI in business: two recommendations on leadership and public policy
- 14.AI and Leadership: Automation and the change of management tasks and processes
- 15.Achieving csr with artificially intelligent nudging.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-09245-9
- 9783031092459
- Access Restriction:
- Restricted for use by site license.
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