UGM Mini Course on
Explainable and Sustainable AI 2026
Shaping the Future of AI: A New Approach to AI based on Interaction Space Theory
Shaping the Future of AI: A New Approach to AI based on Interaction Space Theory
20-29 April 2026
As AI applications rapidly expand, the demand for systems that are transparent, explainable, and sustainable has become critical. Conventional models often function as "black boxes," raising concerns about fairness, accountability, and reliability. IS theory offers a rigorous yet intuitive framework to design AI systems that can be explained, audited, and responsibly adapted.
Dr. Paolo Giordano is a senior researcher at the University of Vienna . He is the initiator of the development of a novel approach to artificial intelligence (AI) based on interaction spaces (IS) theory, a new mathematical theory of complex systems (CS).
Definition of Interaction Space
Clock functions and embedding theorem
Fuzzy logic based indicators
Mathematical definition of complex adaptive systems, composable interactions, (simultaneous interactions, def. of complex systems) and examples
Cause-effect preserving functors
Prototypes: jigsaw puzzles, LEGO builder
Open research project: Intro to “ARC-AGI” - Our ideas for ARC-AGI
Open research project: Intro to “Recognize when two objects are equal or not” - Pattern recognition in discrete systems using IS
*A certificate will be awarded upon completion of the program.
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