Preprint · 2025

Exploring the use of AI authors and reviewers at Agents4Science

Federico Bianchi, Owen Queen, Nitya Thakkar, Eric Sun, James Zou

VenuearXiv
DOI10.48550/arXiv.2511.15534
URLhttp://arxiv.org/abs/2511.15534
TopicsReplicHAI / Agentic reproduction: systems & benchmarks
TagsComputer Science - Artificial Intelligence
archiveIDarXiv:2511.15534
extraarXiv:2511.15534 [cs.AI]
libraryCatalogarXiv.org

Abstract

There is growing interest in using AI agents for scientific research, yet fundamental questions remain about their capabilities as scientists and reviewers. To explore these questions, we organized Agents4Science, the first conference in which AI agents serve as both primary authors and reviewers, with humans as co-authors and co-reviewers. Here, we discuss the key learnings from the conference and their implications for human-AI collaboration in science.

BibTeX

@misc{bianchi_exploring_2025,
	title = {Exploring the use of {AI} authors and reviewers at {Agents4Science}},
	url = {http://arxiv.org/abs/2511.15534},
	doi = {10.48550/arXiv.2511.15534},
	abstract = {There is growing interest in using AI agents for scientific research, yet fundamental questions remain about their capabilities as scientists and reviewers. To explore these questions, we organized Agents4Science, the first conference in which AI agents serve as both primary authors and reviewers, with humans as co-authors and co-reviewers. Here, we discuss the key learnings from the conference and their implications for human-AI collaboration in science.},
	urldate = {2026-11-05},
	publisher = {arXiv},
	author = {Bianchi, Federico and Queen, Owen and Thakkar, Nitya and Sun, Eric and Zou, James},
	month = nov,
	year = {2025},
	note = {arXiv:2511.15534 [cs.AI]},
	keywords = {Computer Science - Artificial Intelligence},
}