ENG
This session offers a practical overview of generative AI tools available at Charles University and how to use them responsibly in academic writing. We’ll navigate the complex landscape of journal policies—from total bans to mandatory disclosures—and clarify the latest Charles University guidelines for thesis writing.
Doctoral students rarely have time to spare and need to be efficient. They may spend hours working on a text and still feel that it is not quite what they want. That is why we will focus not only on the ethical and legislative framework, but also demonstrate specific techniques that will help you write more efficiently.
It is important to mention that, given the interdisciplinary nature of the lecture, it is not possible to go beyond the scope of text creation and focus on research that is highly discipline-specific.
Lecturer
David Jiří Šlosar, Ph.D. is an AI methodologist in the RSE and AI team at the Central Library of Charles University. He also teaches the evaluation of science (scientometrics), theoretical computer science, and information studies at the Faculty of Arts of Charles University. He is focused on the creation and implementation of policies for the responsible use of generative artificial intelligence tools at Charles University.
Timing
March 26th, 14.00 - 15.30 (CET)
Online (MS Teams)
We will send the link to the registered people before the course begins.
Participants
Ph.D. candidates
Registration
Vzdělávací portál (Educational Portal)
Pay attention to your pre-filled email address in your account on the Educational Portal. We communicate via the mentioned email about the course. If you want to change your email address in Educational Portal, you must do it in WhoIS system.