معرفی
Aycan Aslan is an Assistant Professor at the IT University of Copenhagen, specializing in Digital Business Innovation. His work bridges artificial intelligence, decision-making, and healthcare applications.
Research Interests
Aycan focuses on ethical and explainable AI in healthcare, investigating how AI systems can support human decisions while maintaining transparency. His research extends to AI use in work settings, emphasizing user trust and system reliability.
Publication Trends
His recent work (2024–2025) highlights AI explainability (Medical Experts, Misdiagnosis Detection), decision-making theory (Toulmin Model), and practical configurations for AI adoption (User Response, Data Prediction). Collaborations span European and international information systems conferences like ECIS and ICIS.
Contact
- Email: ayas@itu.dk
