Mgr. Petr Špelda, Ph.D.

Monographs

Chapters in monographs

Articles

• 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., & 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.
• 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). No-Regret Learning Supports Voters’ Competence. Social Epistemology, 38(5), 543-559. 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. (2022). Expanding Observability via Human-Machine Cooperation. Axiomathes, 32(Suppl. 3), 819-832. UT-WOS link
• Špelda P. (2020). Machine learning, inductive reasoning, and reliability of generalisations. AI & Society, 35(1), 29-37. UT-WOS link
• 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

2024 -- Golden Course Prize for Teaching Excellence awarded by Dean of the Faculty of Social Sciences, Charles University (Course: Artificial Intelligence and Security)

2023 -- Golden Course Prize for Teaching Excellence awarded by Dean of the Faculty of Social Sciences, Charles University (Course: Artificial Intelligence and Security)

2022 -- Golden Course Prize for Teaching Excellence awarded by Dean of the Faculty of Social Sciences, Charles University (Course: Artificial Intelligence and Security)

2020 -- Golden Course Prize for Teaching Excellence awarded by Dean of the Faculty of Social Sciences, Charles University (Course: Human-Artificial Intelligence Nexus)

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

AI Safety

AI Alignment

Inductive Reasoning in Security Studies

CZ.02.01.01/00/23_025/0008691 HumanAId: Human-Centred AI for a Sustainable and Adaptive Society, WP1 Research Lead: AI Safety and Alignment

CZDEMOS4AI: Beneficent Multi-Agent AI Avatar in a Small Democratic Society, Principal Co-Investigator

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

Petr Spelda is an Assistant Professor at the Department of Security Studies, Charles University.

He is interested in AI safety. Most of his works deal with inductive inference in various learning frameworks. He tends to believe that formal study of inductive inference is important for AI safety.

AI Safety

AI Alignment

Epistemology

Inductive Reasoning in Security Studies