Umelá inteligencia v historickej vede na Slovensku: Epistemologické a etické výzvy, možnosti a riziká
Artificial Intelligence in Historical Scholarship in Slovakia: Epistemological and Ethical Challenges, Opportunities, and Risks

Summary/Abstract: This article examines how artificial intelligence, particularly large language models, can be integrated into historical research, teaching and public history in Slovakia without undermining evidentiary rigour. It highlights opportunities that build on existing digital infrastructures, including rapid localisation and translation of sources, prototyping of historical narratives, automated detection of discursive shifts in large twentieth-century corpora and conversational interfaces to digitised collections. It also analyses key risks, among them fabrication, opacity, loss of provenance, ideological bias, model-collapse effects and the erosion of core research skills. These risks are illustrated through classroom examples demonstrating how small changes in prompt framing can substantially alter causal interpretation in Slovak twentieth-century history. Drawing on recent work on AI and memory and on emerging technical and editorial frameworks such as FAIR data principles, Content Credentials/C2PA and datasheets for datasets, the article proposes a minimal and enforceable set of documentation and transparency guidelines for Slovak historians, journals and memory institutions. It argues that AI should serve as a heuristic multiplier rather than an evidentiary authority and offers a pragmatic roadmap for critical AI literacy and reproducible workflows in Slovak historiography.

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