Speaking AIArt 01/2025: Education in October 2025 will host discussions on the future of arts education in the era of artificial intelligence. The Speaking AIArt conference platform aims to build on interdisciplinary foundations and anticipatory thinking, opening a dialogue about how the changing technological environment shapes the world of AI Art. The first edition of the conference will present perspectives on connecting artistic practice, academic research, and technological innovation within AI Art contexts. The goal of this platform for professional exchange among educators, researchers, and artists is to reflect the changing conditions of arts education today, especially in relation to the rise of AI Art as a creative, research, and pedagogical tool.
The goal of this platform for professional exchange among educators, researchers, and artists is to reflect the changing conditions of arts education today, especially in relation to the rise of AI Art as a creative, research, and pedagogical tool.The main thematic focus of the conference is the application of AI Art in arts and art history education. Presentations will address not only theoretical reflections but also concrete pedagogical and research models, interdisciplinary overlaps, innovative curricula, and experimental creative tools.
SPEAKERS
PHILIPPE PASQUIER
Simon Fraser University, Vancouver
Artisan AI: small data and model crafting with Autolume.
Mezinárodně uznávaný výzkumník a mediální umělec, který vede Metacreation Lab for Creative AI. Ve svém příspěvku představí Auto lume, vizuální syntetizér pro generativní umění s důrazem na práci s malými datovými soubory. Pasquier je průkopníkem v oblasti ko-kreativních systémů a kreativní umělé inteligence, které kombinuje s uměleckou praxí na nejvyšší úrovni.
Jozef Olšavský
FUTURESEARCH STUDIO, Rotterdam
Notes on Artificial Intelligence (AI)
Architect, researcher, and founder of the interdisciplinary Futuresearch Studio. His presentation will open a critical discussion about AI as a tool and its pedagogical potential in design and architecture.
Jana Horáková
Masaryk University, Brno
Navigating Future of Digital Art History with Artificial Intelligence tools
Expert in new media art and digital culture. Her contribution analyzes the development of digital art history in the era of databases and AI tools.
Paulina Tarara
Academy of Fine Arts, Katowice
From Slackspace to Usership: Generative Models and Rethinking Art Education in the Age of AI
Visual artist and cognitive scientist who combines scientific research with artistic processes. Her presentation explores generative models such as LLMs and GANs in the context of contemporary art, drawing on the concepts of Jerzy Ludwiński and Stephen Wright.
Ján Pernecký
QUBU
Computational design in architecture: Alternatives to the generative AI.
Architect, developer, and theorist who develops alternative approaches to computational design beyond generative AI and emphasizes new forms of design thinking.
András Cséfalvay
Academy of Fine Arts and Design, Bratislava
Neural Networks as a Tool for Sensory Expansion and the Strengthening of Empathy
Visual artist and digital storyteller who works with neural networks as a medium for expanding human perception and empathy. His practice combines ethical questions, technological possibilities, and artistic research.
Michal Murin a Peter Vítko
Academy of Fine Arts in Banská Bystrica
Art and Artificial Intelligence: An Art Practice Study Program at the Academy of Arts in Banská Bystrica.
A duo of experts presenting a new undergraduate program in Art and AI, reflecting societal challenges and the interdisciplinary needs of contemporary art education.
Richard Kitta
Technical University of Košice
Neuroesthetic Topographies
Multimedia artist and curator specializing in digital art and hybrid media. His contribution focuses on mapping the nervous system through artistic research and biosensorics.
Daniel Kvak
Masaryk University, Brno
How Machines Understand Music: New Perspectives on AI and Composition
Doctoral student and musicologist who studies AI in musical composition. He will present hybrid models of representation in music and their application in teaching and artistic practice.
Tomáš Marušiak
Masaryk University, Brno
Artistic Research Strategies in AI Art in the Context of Predicting Future Aesthetic Processes Between Humans and the Agentic Entity.
Artist and AI Art researcher whose talk reflects on artistic-research strategies in the context of forecasting aesthetic processes between humans and agent entities.
PROGRAMME
Registration
9:00–9:45
Opening of the conference
10:00–10:30
Tomáš Marušiak
Neural Networks as a Tool for Sensory Expansion and the Strengthening of Empathy
10:30–10:55
András Cséfalvay
VŠVU
Neuroesthetic Topographies
11:00–11:25
Richard Kitta
FU TUKE
From Slackspace to Usership: Generative Models and Rethinking Art Education in the Age of AI
11:30–11:55
Paulina Tarara
ASP Katovice
Lunch break
12:00–13:00
Art and Artificial Intelligence: An Art Practice Study Program at the Academy of Arts in Banská Bystrica.
13:00–13:25
Michal Murin & Peter Vítko
AKU BB
Computational design in architecture: Alternatives to the generative AI.
13:30–13:55
Ján Pernecký
QUBU
Notes on Artificial Intelligence (AI)
14:00–14:25
Jozef Olšavský
FUTURESEARCH STUDIO, Rotterdam
Coffee break
14:30–14:55
How Machines Understand Music: New Perspectives on AI and Composition
15:00–15:25
Daniel Kvak
FF MUNI
Artisan AI: small data and model crafting with Autolume.
15:30–15:55
Philippe Pasquier
Simon Fraser University, Vancouver
Navigating Future of Digital Art History with Artificial Intelligence tools
16:00–16:25
Jana Horáková
FF MUNI
Artistic Research Strategies in AI Art in the Context of Predicting Future Aesthetic Processes Between Humans and the Agentic Entity.
16:30–16:55
Tomáš Marušiak
FF MUNI