Interdisciplinary Conference "AI-ZAMAN"

The Interdisciplinary Conference AI-ZAMAN 2025 brings together researchers and practitioners from diverse disciplines to explore the temporal, historical, and future-oriented dimensions of artificial intelligence — examining not only what AI can do today but how AI systems understand, represent, and act across time. Topics span temporal reasoning in AI, time-series analysis, historical AI research, AI for cultural heritage and archival science, forecasting and prediction methods, and philosophical questions about how AI systems model the passage of time and historical causality.

The conference attracts AI researchers, historians, information scientists, social scientists, and cultural heritage professionals who are united by an interest in the temporal dimension of intelligence, knowledge, and culture. Its interdisciplinary character makes AI-ZAMAN a productive forum for conversations that would not easily occur at more specialized venues, connecting researchers who use AI to analyze historical data with those who use historical and temporal reasoning as a lens for understanding and improving AI systems.