Future of Digital Technology and AI in Social Sectors

Future of Digital Technology and AI in Social Sectors

Release Date: October, 2024|Copyright: © 2025 |Pages: 604
DOI: 10.4018/979-8-3693-5533-6
ISBN13: 9798369355336|ISBN13 Softcover: 9798369355343|EISBN13: 9798369355350
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Description & Coverage
Description:

In a rapidly evolving digital landscape, integrating emerging technologies presents unprecedented opportunities and complex challenges across various disciplines. As society navigates this transformation, there is a growing need for comprehensive insights into the implications of these advancements. This book serves as a vital resource, offering a multidimensional exploration of how emerging technologies are reshaping the social sciences, education, law and policy, tourism, health, environment, communication, business and management, and security.

Focusing on the intersection of technology and society, the Future of Digital Technology and AI in Social Sectors addresses pressing issues such as ethical dilemmas in technological advancement, the impact of automation on employment, and the moral and legal challenges of AI and data analytics. By providing a platform for researchers and practitioners to delve into these topics, the book aims to foster a deeper understanding of emerging technologies' implications and opportunities across diverse fields.

Researchers and practitioners alike will find this book invaluable for gaining new perspectives and insights into the far-reaching effects of emerging technologies. By offering a comprehensive analysis of these advancements, the book aims to contribute to the ongoing dialogue on technology's role in shaping society's future. Scholars, educators, policymakers, and industry professionals can use this reference to explore the transformative power of emerging technologies in today's world.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Learning
  • AI Surveillance
  • AR/VR in Communication
  • Blockchain for Supply Chain
  • Business Analytics
  • Cloud Computing
  • Digital Citizenship
  • Digital Inequality
  • Diversity Tech in HR
  • Health Chatbots
  • Learning Management
  • Online Activism
  • Personalized Medicine
  • Robotics in Hospitality
  • Wearable Health Tech
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Editor/Author Biographies
Duygu Çelik Ertuğrul is a full professor and serves as a faculty member in the Computer Engineering Department at Eastern Mediterranean University in the Turkish Republic of Northern Cyprus. She completed her undergraduate, master's, and doctoral studies in Computer Engineering Department at the same university between 1999 and 2010. Her academic expertise includes Artificial Intelligence, Natural Language Processing (NLP), Semantic Web, Ontologies, Software Engineering Methods and Processes, Decision Support Systems, Recommendation Systems, Rule-Based Expert Systems, Text Processing, Data Mining, Image Processing, and m/e-Health and m/e-Education. Dr. Çelik Ertuğrul has played significant roles in organizing annual international workshops and symposiums such as the "IEEE International Workshop on E-Health Systems and Web Technologies" (ESAS 2011-2024) and the "IEEE COMPSAC Symposium on Web Technologies and Data Analytics (WEDA). Additionally, she has held positions as a manager, academic consultant, and researcher in various research and development projects in Turkey and Northern Cyprus. These projects have been realized with the support of the Scientific and Technological Research Council of Turkey (TUBİTAK) and University-Industry Collaboration Projects (SANTEZ), involving collaborations with leading industrial companies and universities. In addition, Dr. Çelik Ertuğrul has managed and edited three books published by IGI Global, titled "The Future of Digital Technology and Artificial Intelligence in Social Sectors," "Cutting-Edge Technologies for Business Sectors," and "Multifaceted Uses of Cutting-Edge Technologies and Social Concerns." She has numerous works focused on Semantic Web and Rule-Based solutions in fields such as Decision Support Systems, Recommendation Systems, and Expert Systems. Among these works, he has provided editorial services by opening various special issue calls in reputable journals. Some of her editorial efforts include special issues on “Artificial Intelligence Paradigms: Transformations, Challenges, and Future for e-Health Post COVID-19-2022", “e-Health and Staying Smarter-2020”, and "E-Health Systems and Semantic Web-2015", published by the Expert Systems journal. She holds three patents related to artificial intelligence solutions in the health sector. Throughout her academic career, Dr. Çelik Ertuğrul has graduated dozens of master's students and aims to inspire engineering students.

Atilla Elci is full professor in the Software Engineering Department, Hasan Kalyoncu University, Turkey. He retired as full professor and chairman, Aksaray University (2012-2017). Served at Purdue, METU, Haliç, Başkent, EMU, Toros, SDÜ, and Aksaray. His pro practice includes ITU as chief technical advisor (1985-97) and IT&T Pvt Ltd as owner, Turkey (1997-2003). He has organized/served for committees of numerous international conferences. He has organized IEEE COMPSAC & ESAS since 2006, SIN Confs since 2007; and, IJRCS Symposiums 2008-9. He has published extensively; edited Semantic Agent Systems (Springer, 2011), Theory and Practice of Cryptography Solutions for Secure Information Systems (2013), Handbook of Applied Learning Theory and Design in Modern Education (2016), Metacognition and Successful Learning Strategies in Higher Education (2017), Comptemporary Perspectives on Web-Based Systems (May 2018), and Faculty Development for Digital Teaching and Learning (May 2019) all by IGI Global, and the procs SIN Confs by ACM, ESAS by IEEE CS. He serves IEEE COMPSAC since 2005, track chair (2008-2015), Standing Committee Member since 2014. He is an assoc editor of Expert Systems and board member of other journals. BSEE METU, Ankara (1970), M.Sc. & Ph.D. in Computer Sciences, Purdue Univ, USA (1973, 1975). His research and experience encompass web semantics, agent-based systems, robotics, machine learning, knowledge representation and ontology, information security, and educational technology.

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