The fourth session of the Intellectual Interaction Meetings series was held on Tuesday, March 25, 2025, at 14:00 in the Teoman Duralı Conference Hall. The event explored the theoretical and practical dimensions of artificial intelligence, its historical development, decision support systems, and innovative applications in the healthcare sector.
The session was moderated by Prof. Selim Zaim from Ibn Haldun University. Prof. Dursun Delen from Oklahoma University detailed the development process of artificial intelligence, from early-stage AI systems to modern artificial intelligence. He discussed the evolution from rule-based systems in the 1950s to expert systems in the 1980s, data-driven approaches in the 1990s, and the rise of deep learning techniques in the 2010s. He emphasized that large language models have laid the foundation for the GenAI era since 2017. Prof. Delen explained how artificial intelligence mimics human intelligence with examples, focusing on the innovation process in the healthcare sector. He highlighted how techniques such as "deep learning," "machine learning," and "natural language processing" enable artificial intelligence to perform more complex tasks.
Prof. Enes Eryarsoy from Sabancı University discussed data mining and the adaptation of information technologies, engaging in an interactive discussion with Prof. Delen to delve deeper into the subject. Prof. Eryarsoy referenced the contributions of the Arab world and Islamic civilization during their golden age in mathematics—and indirectly AI. He explained the development of modern systems like ChatGPT and DeepSeek with examples. Additionally, he discussed decision support systems and the concept of "Umwelt," explaining how artificial intelligence experiences the world through a different perception.
The discussions also touched on AI’s relationship with “game theory” and the role of historical milestones such as “Deep Blue”. Referring to the views of António Damásio, a renowned neuroscientist, Prof. Enes Eryarsoy examined the role of emotions in decision-making processes from the perspective of artificial intelligence. He provided insights into how “classification algorithms”, a form of supervised machine learning, are applied in industries such as healthcare, finance, and marketing.
Evaluations on the "context understanding ability" and "coherent response generation capability" of large language models like ChatGPT further contributed to understanding AI’s role in human-machine interaction. The program fostered an in-depth discussion on the role of AI in academia and various industries, its applications, and its future potential. Through these discussions, students gained valuable insights to guide their future studies.
