Boundaries of Artificial Intelligence: From Computational Models to Mind Emulation and Superintelligent Systems

Kraków 20.11.2026 ISKiF UKEN

Call for Papers

The rapid development of artificial intelligence is reshaping our understanding of cognition, consciousness, and the nature of the mind. Advances in computational modeling, neuroscience, and neurotechnology raise fundamental questions about the possibility of Whole Brain Emulation (WBE), understood as the reconstruction and simulation of the human brain in silico.

At the same time, progress in artificial intelligence brings increasing attention to the potential emergence of advanced and possibly superintelligent systems. These developments raise critical questions concerning controllability, safety, and the long-term trajectory of human civilization. In this context, issues of AI alignment, strategic timing of technological development, and global coordination become central.

This conference aims to provide an interdisciplinary platform for researchers working at the intersection of artificial intelligence, neuroscience, computer science, philosophy, and the social sciences. We welcome contributions addressing theoretical foundations, technical feasibility, as well as philosophical, ethical, and strategic implications of the transition from computational models to artificial and emulated minds.

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Panels

Panel 1: Computational Models, Intelligence, and Their Limits

What is cognition, and how can it be modeled?
Can cognition be fully described as a computational process?
Which aspects of the brain are essential for accurate modeling?
Where is the boundary between simulation and genuine cognition?
How do computational models relate to the possibility of superintelligence?

Panel 2: Cognitive Architectures and Pathways to Advanced AI

How are models integrated into coherent cognitive systems?
How can perception, memory, and action be unified within a single architecture?
Does AGI require biologically inspired architectures?
Which approaches are most likely to scale toward general or superintelligent capabilities?
Can hybrid biological-digital systems serve as an intermediate step?

Panel 3: Whole Brain Emulation and Alternative Development Pathways

Is whole brain emulation achievable, and how does it compare to other approaches?
What level of resolution is required for functionally accurate emulation?
What are the computational constraints of real-time brain simulation?
How do reconstruction errors affect identity and functionality?
How does WBE compare to alternative pathways toward superintelligence?

Panel 4: Data, Neurotechnology, and Scaling Challenges

How do we obtain and manage the data necessary for advanced models?
How can full-brain mapping be scaled to the human level?
How can structural and functional data be integrated?
What are the key limitations of current neuroimaging technologies?
Is high-resolution, non-invasive brain mapping achievable?

Panel 5: Control, Alignment, and Safety of Advanced AI

Can advanced AI systems be aligned with human goals and values?
What are the main technical challenges in value alignment?
Can alignment techniques scale to superintelligent systems?
What failure modes (e.g., deceptive alignment) are most concerning?
How can advanced systems be monitored, verified, and controlled?

Panel 6: Philosophy, Ethics, and Civilizational Futures

What are the broader implications of artificial and emulated minds?
Does brain emulation preserve identity or create a copy?
Would advanced or superintelligent systems possess moral status?
What governance frameworks are needed for advanced AI?
How might superintelligence shape the long-term trajectory of civilization?

Abstracts submission

Participation in the conference is free of charge. Abstract submissions are accepted until September 30, 2026.

Map

Conference venue: Main building of KEN University in Krakow, 2 Podchorążych Street, Auditorium A1

Conference venue

Schedule

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