Content
This webinar provides an overview of AI applications across the entire systematic review workflow (from research question, to building a search strategy to data extraction). We will cover the opportunities, limitations, and methodological considerations associated with AI-assisted evidence synthesis. Particular attention will be given to transparency, reproducibility, critical thinking, and responsible use of AI tools.
Goals
After this webinar, participants will be able to better understand how AI can/cannot support different stages of the systematic review workflow, critically evaluate its limitations, and apply principles of responsible, transparent, and reproducible AI use in evidence synthesis.
Prerequisites
Please note that this webinar is not an introduction to systematic review methodology or prompting. Participants are expected to be familiar with the material covered in the following introductory modules:
General steps to synthesising a review
Responsible use of generative AI
Registrants must also fill in a questionnaire before the course, which you will receive in your confirmation email.
Target Group: Students, PhD, UM staff, MUMC+ employees, researchers that work with evidence synthesis.
Language: English
Format: Webinar
