Mgr. Petr Špelda, Ph.D.

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FSV UK offers some of the highest quality English language Bachelor's, Master's and PhD degree programs in Central and Eastern Europe in all fields of social sciences, giving students an opportunity to obtain their degree from one of the oldest, largest and most prestigious universities in the world.

Research

FSV UK fully supports the socio-scientific research. The Faculty integrates and co-ordinates the research plan it has acquired with several departments of the Faculty of Arts, Charles University. Within this framework, FSV UK has made a commitment to provide the professional public with a critical and scientifically-based reflection on the development of Czech society from a long-term perspective.

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Posts:

Department of Security Studies, IPS

E-mail: petr.spelda@fsv.cuni.cz

Website

Supervised thesis

Rooms: No. B327, Jinonice, building B

Consultations

ORCID ID: 0000-0003-4199-645X

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

Google Scholar

I work in AI safety and epistemology. Most of my works deal with inductive inference in various learning setups. I believe that formal study of inductive inference is important for AI safety.

Rok vydání

Monographs

Chapters in monographs

Articles

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
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). 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.
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. (2025). Security practices in AI development. AI & Society, 40(6), 4869-4879. 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

2026 -- Golden Course Prize for Teaching Excellence awarded by Dean of the Faculty of Social Sciences, Charles University (Course: Artificial Intelligence and Security)

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

TQ12000040 CZDEMOS4AI: Beneficent Multi-Agent AI Avatar in a Small Democratic Society, Principal Co-Investigator

CZ.02.01.01/00/22_008/0004595 CoRe – Beyond Security: Role of Conflict in Resilience-Building, Research Group 9

LX22NPO5101 National Institute for Research on Socioeconomic Impacts of Diseases and Systemic Risks, Research Group ‘Polarization & Populism’ (SYRI)

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

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

I work in AI safety and epistemology. Most of my works deal with inductive inference in various learning setups. I believe that formal study of inductive inference is important for AI safety.

AI Safety

AI Alignment

Epistemology

Inductive Reasoning in Security Studies

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