You cannot register for this webinar

Generative Artificial Intelligence (AI) tools can take over an increasing part of scientific work. Their use for language proofreading or suggesting better text wording is already a de facto standard. Still, their capabilities for literature search, designing experiments, writing a full scientific paper or even reviewing it are also gradually growing. The use of AI will undoubtedly increase the productivity of scientific work, but it opens up ethical dilemmas to which we have no satisfactory answers at the moment. What do we want the future of science to look like with AI scientists? And how to ensure the credibility of scientific results involving AI? This talk will present some of the dilemmas that the scientific community is currently facing and outline possible solutions.