In an era defined by unprecedented technological advancements, the intersection of artificial intelligence (AI) and the Smart Systems presents both challenges and opportunities. Rapid advancements in automation, machine learning, and AI-driven technologies are reshaping job roles and creating new avenues for employment. The urgency lies in equipping educators, policymakers, and industry professionals with insights to navigate this transformative period effectively.
The first of two volumes, Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part A is a timely collected edition, emerging precisely when the ramifications of AI on the job market are becoming palpable. Each section of the work explores a unique aspect, covering the foundational role of AI as a catalyst for developing new skills and competencies. It provides insights for higher education institutions, discusses AI as a powerful tool for sharing knowledge, considers policy implications, and examines the emergence of innovative job markets.
The chapters serve as a comprehensive guide for higher education stakeholders, offering actionable insights and strategies to navigate the evolving landscape of AI-influenced job markets. Authors work to bridge the gap between academic theory and real-world application, providing a roadmap for institutions to adapt curricula, teaching methodologies, and policies to meet the demands of the AI-driven future.
Education, Future Jobs and Smart Systems in the Age of Artificial Intelligence, Part A is a timely collected edition, emerging precisely when the ramifications of AI on the job market are becoming palpable.
Chapter
1. The Transformative Impact of AI: Implications for Education,
Labour and Smart Systems; Miltiadis Demetrios Lytras and Andreea Claudia
erban
Chapter
2. The Evolution of AI in Finance and Banking: Transforming Services
and Security - A Paradox Perspective; Hooreya Hafedh and Kareema Almusali
Chapter
3. Enhancing Telecommunication Services with AI and Statistical
Analysis: Implications for Education and Future Employment; Mohammad Abiad
Chapter
4. Implementation of AI in Education: Promises and Challenges; Lamia
Kamel Mohamed
Chapter
5. Attitude towards Artificial Intelligence: Perspectives from
Students in Economic Studies; Nataliia Versal, Mariia Balytska, and Ihor
Honchar
Chapter
6. State of the Art in Higher Education: Impact of AI-Based Adaptive
Learning Systems in Online Education; Andreia de Bem Machado, Maria José
Sousa, and Sabrina Maria Sarkar
Chapter
7. The Usage of AI in the Public Sector: The Case of Greece and
Proposals for Future Research; Chris Mantas, Vasilis Karapetsas, and Sawsan
Malik
Chapter
8. The Role of Artificial Intelligence in Finance and Banking; Dalal
Aloumi
Chapter
9. The AI Revolution in Financial Markets: Balancing Innovation
Opportunities and Challenges; Karima Sayari
Chapter
10. Managerial Fears and Hopes: The Human Side of Algorithmic
Management in Organisations; Rifat Kamasak, Deniz Palalar Alkan, Mehmet Zihni
Sungur, and Seyda Betul Kilic
Miltiadis D. Lytras is a Full Professor of Management Information Systems at Deree The American College of Greece, and a Visiting Professor in the Department of Computer Science, College of Engineering at Effat University. He is a recognized expert in Digital Transformation and AI-enabled Innovation. His research has been acknowledged among the Stanford's Top 2% Scientists worldwide for both career-long and single-year impact. He has co-edited more than 100 academic volumes.
Andreea Claudia erban is a Professor at the Department of Economics and Economic Policies within the Faculty of Theoretical and Applied Economics at the Bucharest University of Economic Studies, Romania.
