Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing
Mahjabin Nahar, Sian Lee, Rebekah Guillen, Dongwon Lee

TL;DR
This paper analyzes how major CS conferences are developing policies for the responsible use of Generative AI in scholarly writing and peer review, highlighting current practices and offering recommendations.
Contribution
It provides a comprehensive review of existing Gen-AI policies in 64 CS conferences and suggests best practices for policy development and implementation.
Findings
Many conferences lack clear Gen-AI policies
Existing policies vary widely in scope and detail
Recommendations for standardized and responsible Gen-AI use
Abstract
As the use of Generative AI (Gen-AI) in scholarly writing and peer reviews continues to rise, it is essential for the computing field to establish and adopt clear Gen-AI policies. This study examines the landscape of Gen-AI policies across 64 major Computer Science conferences and offers recommendations for promoting more effective and responsible use of Gen-AI in the field.
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Taxonomy
TopicsResearch Data Management Practices · Semantic Web and Ontologies · Biomedical Text Mining and Ontologies
