Outcomes

Vacura, M. (2025). Bridging the Emotional Gap: Philosophical Insights into Sensual Robots with Large Language Model Technology. Open Philosophy8(1), 20250082. https://doi.org/10.1515/opphil-2025-0082  

Špecián, P., & Špeciánová, J. (2025). Universal Basic AI Access: Countering the Digital Divide. Acta Informatica Pragensia14(2), 272-281. https://doi.org/10.18267/j.aip.270

Chudan, D., & Vacura, M. (2025). Theory and Practice of Generative Artificial Intelligence Usage (Editorial). Acta Informatica Pragensia14(2), 191-194. https://doi.org/10.18267/j.aip.284

Špecián, P. (2024). Machine Advisors: Integrating Large Language Models Into Democratic Assemblies. Social Epistemology, 1–16. https://doi.org/10.1080/02691728.2024.2379271

Vacura, M. (2024). “Watermark as a Tool to Address Abuse of Large-Scale Language Models”, IDIMT 2024. Changes to ICT, Management and Business Processes Through AI, 32th Interdisciplinary Information Management Talks, Linz: Trauner Verlag, pp. 419-426. https://doi.org/10.35011/IDIMT-2024-419

Other

Special issue of Acta Informatica Pragensia journal titled “Theory and Practice of Generative Artificial Intelligence Usage”, 2025 (vol. 14), issue 2. Edited by David Chudan and Miroslav Vacura, link to the issue: https://aip.vse.cz/magno/aip/2025/mn2.php (published editorial is listed above)