Description
Artificial Intelligence (AI), particularly Generative Pretrained Transformer (GPT) models, has become one of the most influential and transformative technologies of the 21st century. They have shown immense potential to revolutionize research and education by enabling more efficient data analysis, generating high-quality content, and facilitating personalized learning experiences. As AI continues to evolve, its integration into these fields promises to enhance productivity, foster innovation, and democratize access to knowledge on a global scale.
Impacts of Generative AI on the Future of Research and Education provides an in-depth understanding of the implication of AI and GPT in the context of research and education. It comprehensively analyzes the potential, challenges, and ethical considerations of AI integration in these sectors. Covering topics such as academic integrity, ethics, and special education, this book is an excellent resource for educators, researchers, academicians, policymakers, administrators, and more.
Author's/Editor's Biography
Abdullah Mutawa (Ed.)
Dr. Abdullah Muhammad Al-Mutawa is an international expert with UNESCO at the United Nations on issues of ethics in artificial intelligence, a scientific advisor to the World Organization of MELST, the Asia branch, an advisor to the Minister of Education in the States of Kuwait for AI related issues, a member of an academic body at the College of Engineering and Petroleum at Kuwait University, a visiting professor at University of Hamburg, Germany, and the founder of the robot laboratories, the artificial intelligence laboratory, and the intelligent computing laboratory in the Department of Computer Engineering at Kuwait University, winner of the Sheikh Salem Al-Ali Al-Sabah Award for Academic Excellence in Artificial Intelligence in 2022. Dr. Al-Mutawa has many research interests, most notably robotics, expert systems, artificial intelligence, signal processing, computer natural language processing, computer pattern recognition, deep learning, e-learning, distance education, and quantum computing. He obtained his master's and doctorate degrees from Syracuse University, New York, USA, in 1999 in Artificial Intelligence.