Mgr. Petr Špelda, Ph.D.

Monographs

Chapters in monographs

Articles

• Špelda P. (2020). Machine learning, inductive reasoning, and reliability of generalisations. AI & Society, 35(1), 29-37. UT-WOS link
• Špelda P., & Střítecký V. (2022). Expanding Observability via Human-Machine Cooperation. Axiomathes, 32(Suppl. 3), 819-832. UT-WOS link
• Špelda P., & Střítecký V. (2021). What Can Artificial Intelligence Do for Scientific Realism?. Axiomathes, 31(1), 85-104. UT-WOS link
• Špelda P., & Střítecký V. (2020). The future of human-artificial intelligence nexus and its environmental costs. Futures, 117(March), 1-5. UT-WOS link
• Špelda P., & Střítecký V. (2021). Human Induction in Machine Learning: A Survey of the Nexus. ACM Computing Surveys, 54(3), 1-18. UT-WOS link
• Špelda P., Střítecký V., & Symons J. (2024). No-Regret Learning Supports Voters’ Competence. Social Epistemology, 38(5), 543-559. UT-WOS link
• Špelda P., & Střítecký V. (2024). Learnability of state spaces of physical systems is undecidable. Journal of Computational Science, 83(December 2024), 1-7. UT-WOS link
• Špelda P., & Střítecký V. (2024). Why and how to construct an epistemic justification of machine learning?. Synthese, 204(2), 1-24. UT-WOS link
• Špelda P., Střítecký V., & Symons J. (2024). On the Need for Multiple, Independent Fact-Checking and Scoring Facilities: A Reply to Gerhard Schurz. Social Epistemology Review and Reply Collective, 13(5), 1-4.
• Střítecký V., & Špelda P. (2017). Analýza aktivit elektronického džihádu v prostoru sociálních médií. Mezinárodní vztahy, 52(4), 33-47.
• Střítecký V., & Špelda P. (2017). Establishing the Complexity of the Islamic State's Visual Propaganda. Central European Journal of International and Security Studies, 11(4), 66-84.

Contributions in the conference proceedings

https://is.cuni.cz/studium/eng/predmety/index.php?do=search&nazev=&kod=&match=substring&srch_nazev=0&srch_nazev=1&fak=11230&ustav=&sekce=&trida=&klas=&kompetence=&pvyjazyk=&sem=&pocet=20&ujmeno=spelda&utyp=3&b=Hledej

Safety and Security of Machine Learning
Inductive Reasoning in Security

UNCE/HUM/037 The Human-Machine Nexus and International Order

Petr Špelda is an Assistant Professor at the Department of Security Studies. His research focuses on safety and security of machine learning. In this area, he is interested in examining various models of optimality in inductive inference.

Safety and Security of Machine Learning; Inductive Reasoning in Security