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[EDUCATION] Generic AI in scientific writing: Traps and effective strategies for doctoral candidates and researchers

Generative artificial intelligence (ChatGPT, Claude, SciSpace and other tools) can significantly speed up the search for literature, summarizing scientific papers, shaping research ideas and writing individual parts of scientific articles. However, in addition to numerous advantages, there are also significant risks – from fictional references and misinterpretation of the literature to superficial conclusions, academic "inflation" of the text and uncritical acceptance of AI-generated content.

This interactive online workshop is intended primarily for doctoral students and students of doctoral studies of all scientific fields and fields, regardless of whether they come from the academic, public or private sector. All other researchers who want to improve their skills in the responsible and effective application of generative AI in scientific work are welcome.

Through a combination of practical demonstrations, real examples and stand-alone exercises, you will learn to recognize the most common mistakes that generative AI produces in scientific writing, critically assess the quality of AI-generated content and apply advanced prompting techniques to obtain better and more reliable results. Special emphasis is placed on practical work. They will analyze these real AI responses, discover fictional references, identify logical loopholes and unsubstantiated claims, compare different AI tools, and learn how to use AI as a research assistant, rather than as a substitute for their own critical thinking.

What will you learn?

After the workshop you will be able to:

Understand the key risks of using generative AI in scientific work;
identify and check the most common AI errors,
critically analyze AI-generated summaries, literature reviews and academic texts,
use ChatGPT, Claude, SciSpace and similar tools more effectively in the research process,
get practical templates of spots and check the most common traps for daily research work.

Who is the webinar for?

The workshop is intended primarily for doctoral students and researchers, but also for all interested in this topic.

Who runs the webinar?

Water Webinar Assoc. prof. dr. sc. Danijela Jakšić i Doc. dr. sc. Kristian Stancin from the University of Rijeka, Faculty of Informatics and Digital Technologies.