Mgr. Petr Špelda, Ph.D.

Monografie

Kapitoly v monografiích

Články

• ŠPELDA, Petr. Machine learning, inductive reasoning, and reliability of generalisations. AI & Society. 2020, 35(1), 29-37. ISSN 0951-5666. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít. Expanding Observability via Human-Machine Cooperation. Axiomathes. 2022, 32(Suppl. 3), 819-832. ISSN 1122-1151. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít - SYMONS, John. No-Regret Learning Supports Voters’ Competence. Social Epistemology. 2024, 38(5), 543-559. ISSN 0269-1728. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít. Learnability of state spaces of physical systems is undecidable. Journal of Computational Science. 2024, 83(December 2024), 1-7. ISSN 1877-7503. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít. Why and how to construct an epistemic justification of machine learning?. Synthese. 2024, 204(2), 1-24. ISSN 0039-7857. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít - SYMONS, John. On the Need for Multiple, Independent Fact-Checking and Scoring Facilities: A Reply to Gerhard Schurz. Social Epistemology Review and Reply Collective. 2024, 13(5), 1-4. ISSN 2471-9560.
• ŠPELDA, Petr - STŘÍTECKÝ, Vít. What Can Artificial Intelligence Do for Scientific Realism?. Axiomathes. 2021, 31(1), 85-104. ISSN 1122-1151. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít. The future of human-artificial intelligence nexus and its environmental costs. Futures. 2020, 117(March), 1-5. ISSN 0016-3287. UT-WOS link
• ŠPELDA, Petr - STŘÍTECKÝ, Vít. Human Induction in Machine Learning: A Survey of the Nexus. ACM Computing Surveys. 2021, 54(3), 1-18. ISSN 0360-0300. UT-WOS link
• STŘÍTECKÝ, Vít - ŠPELDA, Petr. Analýza aktivit elektronického džihádu v prostoru sociálních médií. Mezinárodní vztahy. 2017, 52(4), 33-47. ISSN 0323-1844.
• STŘÍTECKÝ, Vít - ŠPELDA, Petr. Establishing the Complexity of the Islamic State's Visual Propaganda. Central European Journal of International and Security Studies. 2017, 11(4), 66-84. ISSN 1802-548X.

Příspěvky v konferenčních sbornících

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.

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