Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 8 of its 11 references that are in the map. First posted on arXiv 15 Oct 2024.
Builds on
8 of 11 references.
References · 8
- 2024Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviewscited by 160
- 2024Mapping the Increasing Use of LLMs in Scientific Paperscited by 112
- 2024LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewingcited by 62
- 2022Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspectivecited by 40
- 2024Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinationscited by 12
- 2023Techniques for supercharging academic writing with generative AIcited by 8
- 2024Beyond principlism: Practical strategies for ethical AI use in research practicescited by 7
- 2023Disinformation 2.0 in the Age of AI: A Cybersecurity Perspectivecited by 4
Built on by
Citing papers per year: 2025: 2; 2026: 1.
3 papers.