Conference talks, workshops, panels, public lectures and presentation materials.
Open models have made artificial intelligence more accessible, but useful deployment still depends on data, integration and honest evaluation. It was a pleasure to bring this practical perspective to the general public at Inovujeme Plzeň 2026 Next Level and to appear alongside such a strong group of speakers. I thank SIT Port for the organisation and for creating a lively workshop setting at TechTower.
Historical archives contain valuable evidence, but scanned documents are difficult to search when their metadata is incomplete or inconsistent. At the C4DHI Anniversary Workshop, I presented a workflow that uses large language models to extract structured metadata from scanned NATO archival documents. The talk focused on noisy OCR, multilingual records and the need to preserve evidence for human review.
Complex research tasks do not fit into a single prompt: they need tools, intermediate checks and an inspectable sequence of steps. These workshop materials introduce agentic AI as a workflow for digital humanities and archival research. They connect an Oxford research stay, CLARIN collaboration and practical work with NATO archival documents.
Students need opportunities to use generative AI inside complete engineering projects where technical decisions remain visible and defensible. At the Trinational Round Table on Artificial Intelligence on 23 April 2026, I presented our Internet Technologies course built around cooperation with Aimtec, makerspace prototyping and transparent AI use. The talk connected AI-supported teaching materials, student-built IoT systems and individual verification that each student understands the submitted solution.
AI coding assistants can produce code quickly, but speed does not replace clear requirements and architecture. SpecKit turns an initial idea into a specification, an implementation plan and a visible set of tasks. The workshop shows how this structure helps keep research prototypes and applied software understandable while they evolve.
Generative AI can turn a lecture into additional learning support, help students practise and give teachers another perspective on their own materials. At AI Monday Pilsen #7 on 1 September 2025, I presented my workflow from a recording and UWebASR transcript to a chronological summary, topics discussed beyond the slides, a glossary and an experimental Custom GPT. The talk also covered practical limitations: input quality, human review, privacy protection and limited feedback about how students use the chatbot.
