Abstract
The past three years have seen a rapid adoption of applications based on so-called Generative Artificial Intelligence, such as ChatGPT. This surge was made possible by long-term exponential increases in computing power, data availability, and machine learning performance. Today, Artificial Intelligence (AI) has the potential to transform education by enhancing the student experience through a deeper understanding of their needs and behaviors, while simultaneously upgrading the learning process. Furthermore, it can improve educational operations by boosting the productivity of teachers and professors.
In addition, new AI-based educational models can be developed with applications in both educational services and the production of instructional material. AI also impacts the broader educational organization, shaping new requirements for strategy, organizational structure, and human resource management. These changes, however, are not without risks. AI systems may be used by students to bypass learning, while they can also produce erroneous results, reproduce biases, and exacerbate social inequalities. It is, therefore, vital that AI is used correctly: for the benefit of both the student population and educators.
Biography
Diomidis Spinellis is a Professor in the Department of Management Science and Technology at the Athens University of Economics and Business and in the Software Engineering Department at the Delft University of Technology. In 2013, he worked at Google as a Senior Software Engineer (Site Reliability Engineering), and from 2009 to 2011, he served as the Secretary General for Information Systems at the Greek Ministry of Finance.
His research interests focus on software engineering, AI applications, computer security, and business analytics. His scientific work includes the award-winning and widely translated books Code Reading: The Open Source Perspective and Code Quality: The Open Source Perspective, as well as over 350 scientific articles which have received more than 15,000 citations. His most recent book is titled Effective Debugging: 66 Specific Ways to Debug Software and Systems. He is an Editor-in-Chief Emeritus and a member of the editorial board for the journal IEEE Software. As part of his research activity, he has been designing and implementing open-source software since 1988; tools and libraries he authored are part of the Apple macOS and BSD Unix operating systems. He holds the rank of Distinguished Member in both the ACM and the IEEE.
