37th Open Science Meet-up: Peer review in the age of AI
SR 15
Department of Physics
Peer review remains a corner stone of quality assurance and selection processes in scholarly publishing and for research funding. However, authors and reviewers face multiple challenges. Reviewers are faced with a glut of review requests, often poor matches of expertise areas and short deadlines. Moreover, they are faced with quality issues that can arise from the use of AI by authors, e.g. hallucinated citations and manipulations of images.
AI-assistance is now available at all stages of the research cycle and the publication process: for the creation of project proposals or academic works, editorial screening of manuscripts, compliance checks, review of manuscripts, formatting, metadata generation, metrics and dissemination.
In this session we would like to explore and discuss questions such as:
- What guidance is available from research funders and publishers on the use of AI tools in peer review?
- What AI use is acceptable in peer review, and how should it be disclosed?
- What AI tools are available to assist peer reviewers?
- What tools might be used by authors to check and improve works or proposals before submission?
Bring your curiosity and questions, and join us for this session!
Pad: https://pad.gwdg.de/vsn5IlDZQWWK4dv3L9QxSQ