Martin H. Frické
Research Areas
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Logic and librarianship
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Cryptotechnologies
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Machine learning
Professor Martin Frické has spent the latter part of his career studying logic and librarianship, specifically the use of computers and symbolic logic to organize information. He has published a book and several articles on these topics (for example, on Faceted Classification). He has also published on Big Data and on the Knowledge Pyramid. About ten years ago his interest moved to blockchains, cryptotechnologies, and torrents, and to how these can be to used support ‘perfect librarianship’. This is librarianship where there is uncensorable, and universal, rapid delivery of authenticated unchangeable permanent documents (librarianship, which if carried through, would confine the nightmares of Orwell’s 1984 to fiction). More recently his attention was drawn to machine learning and the possible impact of large language models on librarianship (models like ChatGPT). In 2023, he published the book Artificial Intelligence and Librarianship: Notes for Teaching. This is open-sourced and available free to all. One path to the 2024 3rd Edition is World Cat Artificial Intelligence and Librarianship ; another is Open Textbook Library Artificial Intelligence and Librarianship . He is a computer programmer and developer and has written many programs to assist with instruction (see, for example, http://SoftOption.Us), many of which are in use the world over. He has taught networking, human-computer interaction, logic, and web design, as well as the courses in organization of information, research methods and information ethics.