Principles of Responsible Management Education (PRME) in the Age of Artificial Intelligence (AI)
Opportunities, Threats, and the Way Forward
A volume in the series: Research in Management Education and Development. Editor(s): Agata Stachowicz-Stanusch, Canadian University Dubai. Wolfgang Amann, HEC Paris. Hamid H. Kazeroony, North-West University Business School.
Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Continuing this train of thought to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education.
This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the â€˜rightâ€™ set of future skills is)?
In our book, we address the following questions:
1. How will AI impact the business education world?
2. How will AI be used in business schools and management learning?
3. Is AI a threat for the successful implementation of PRME?
4. What should new learning goals be?
5. How should we create next generation learning journeys?
PART I: INTRODUCTION. Leadership in Artificial Intelligence Times, Agata Stachowicz-Stanusch and Wolfgang Amann. Imparting PRME Principles in Management Education Through CAMB Competency Model: The Role of Artificial Intelligence, Radha R. Sharma and Kartik Sharma. AIâ€™s Manifold Role in Ethics Education, David L. Schwarzkopf and Throstur Olaf Sigurjonsson. AI-Assisted Responsible Management Education, Heather Ranson and Jie Zhang. Artificial Intelligence Calls for Inner Alignment (AI for IA), Kathrin KÃ¶ster and Adrian U. Kreppel. How Can Augmented Reality (AR) be Used in Management Education? Almula Umay KaramanlÄ±oÄŸlu and Ãœnsal SÄ±ÄŸrÄ±. PART II: PRINCIPLES OF RESPONSIBLE MANAGEMENT EDUCATION (PRME) IN THE AGE OF FORTHCOMING ARTIFICIAL INTELLIGENCE (AI) REVOLUTION. Business Schools and Universities: Interdisciplinary Collaboration for Better AI, Jaime Barrera, Rafael Bautista, and Gustavo GonzÃ¡lez. The Likely Impact of Artificial Intelligence on the Higher Education and Business Sectors in 2020 and Beyond: Global Perspectives, Annette Insanally and Horace Williams. Teaching Artificial Intelligence (AI) in Business in Business Schools, Peter Yeoh. Unifying SDGs With National Development Agendas: A Policy Framework to Facilitate and Accelerate the Implementation of SDGs Leveraging AI, Ananda Samudhram, Eu-Gene Siew, and Jothee Sinnakkannu. Biographies.
Web price: $39.09 (Reg. 45.99)
Web price: $73.09 (Reg. 85.99)
- COM004000 - COMPUTERS: Intelligence (AI) & Semantics
- EDU015000 - EDUCATION: Higher
- BUS041000 - BUSINESS & ECONOMICS: Management
- Advancing African Knowledge Management and Education
- Anti-Corruption in Management Research and Business School Classrooms
- Emerging Web 3.0/Semantic Web Applications in Higher Education Growing Personalization and Wider Interconnections in Learning
- Humanistic Values from Academic Community Perspective
- Management and Business Education in the Time of Artificial Intelligence The Need to Rethink, Retrain, and Redesign
- Phronesis in Business Schools Reflections on Teaching and Learning
- The Ph.D. Mindset Decoupling Passion from Research