UGM Workshop Series on
Explainable and Sustainable AI 2025
Shaping the Future of AI: A New Approach to AI based on Interaction Spaces Theory
Shaping the Future of AI: A New Approach to AI based on Interaction Spaces Theory
Yogyakarta, 20-24 October 2025
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
Review: mathematical definition of complex systems, of complex adaptive systems and examples
Review: cause-effect preserving functors; simultaneous interactions
Open research project: Introduction to our ideas for ARC-AGI
Open research project: Introduction to pattern recognition in discrete systems using interaction spaces: “Recognise when two objects are equal or not”
Student
Undergraduate : IDR 250k
Graduate : IDR 500k
International : USD 50
General Participant
Local : IDR 750k
International : USD 75
Registration Open: 22nd September 2025
Registration Closed: 6th October, 2025
Payment Deadline: 10th October, 2025
Workshop: 20th-24th October 2025
Address: Sekip Utara BLS 21, Yogyakarta 55281, Indonesia
Email: sekar.nugraheni@ugm.ac.id
Phone: +62811-2950-369