This required elective course introduces students to some of the areas of digital humanities (DH) and the benefits that DH can provide (not only in an academic setting). The course focuses in particular on sharing ideas, creative approaches to problem solving and personal development in DH, including gaining a basic orientation in programming (e.g. Python). During the workshop, each student will come up with their own mini project to solve a specific problem and try to design a suitable and workable solution for it. In the section on AI, we will address both the nature of AI systems (e.g., Are we rightly talking about thinking in the context of AI and does it matter?) and ethical issues related to the development of AI (e.g., Aligning AI values with human values, AI rights and responsibilities). Teaching is in a combined form of seminars and tutorials. In particular, the course will cover the following topics: introduction to the subject of digital humanities, data analysis (data acquisition, processing and visualization; legal aspects of data acquisition), natural text processing, working with electronic resources, machine learning, humanities and computer graphics, advantages and pitfalls of digital humanities. Artificial Intelligence: basic characteristics of AI, nature of thinking, AI allignment, AI capabilities, potential uses of AI, misuse of AI, AI autonomy, existential threats.The hour allocation for the subtopics will be based primarily on the individual preferences of the course participants and will reflect the nature of their mini-projects. If students are interested, other topics may be covered.
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