# Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing

arXiv: https://arxiv.org/abs/2410.11977 · HTML: https://mlsanity.com/paper/2410.11977/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 11 references that are in the map.
- First posted on arXiv 15 Oct 2024.

## Builds on (most cited first, 8 of 8)

- [Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews](https://mlsanity.com/paper/2403.07183/) (2024)
- [Mapping the Increasing Use of LLMs in Scientific Papers](https://mlsanity.com/paper/2404.01268/) (2024)
- [LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing](https://mlsanity.com/paper/2406.16253/) (2024)
- [Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective](https://mlsanity.com/paper/2210.10488/) (2022)
- [Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations](https://mlsanity.com/paper/2404.03745/) (2024)
- [Techniques for supercharging academic writing with generative AI](https://mlsanity.com/paper/2310.17143/) (2023)
- [Beyond principlism: Practical strategies for ethical AI use in research practices](https://mlsanity.com/paper/2401.15284/) (2024)
- [Disinformation 2.0 in the Age of AI: A Cybersecurity Perspective](https://mlsanity.com/paper/2306.05569/) (2023)

## Built on by (most cited first, 3 of 3)

- [Echoes of Automation: The Increasing Use of LLMs in Newsmaking](https://mlsanity.com/paper/2508.06445/) (2025)
- [Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation](https://mlsanity.com/paper/2503.23242/) (2025)
- [Expectations and Practices around AI Disclosure in CS Research](https://mlsanity.com/paper/2608.23271/) (2026)

## 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.