Tech
AI Tools Boost Paper Production but Raise Quality Concerns in Scientific Research
Large language models such as ChatGPT are increasing research output, particularly for scientists who are not native English speakers, but a new study warns that many AI-assisted papers are less likely to pass peer review.
Researchers at Cornell University, United States, analysed more than two million research papers posted between 2018 and 2024 on three major preprint servers, which host early versions of scientific work prior to formal review. Their findings, published in the journal Science, show that AI tools are reshaping how scientific papers are written and disseminated.
To identify AI-assisted papers, the team trained an AI system to detect text likely generated by large language models. Comparing papers posted before 2023 with those written after tools like ChatGPT became widely available, the researchers measured publication output and subsequent acceptance rates in scientific journals.
The analysis revealed a significant productivity boost for AI users. On a major preprint server for physics and computer science, researchers using AI produced about one-third more papers than those who did not. In biology and the social sciences, the increase exceeded 50 percent. The largest gains were seen among scientists whose first language is not English. In some Asian institutions, researchers published between 40 percent and nearly 90 percent more papers after adopting AI writing tools, depending on the discipline.
AI tools also appear to aid in literature review. Researchers using AI were more likely to identify newer studies and relevant books rather than relying on older, frequently cited works. “People using LLMs are connecting to more diverse knowledge, which might be driving more creative ideas,” said Keigo Kusumegi, a doctoral student and first author of the study.
Despite the productivity gains, the study highlights quality concerns. Many AI-written papers, while linguistically polished, were less likely to be accepted by journals. Papers written by humans that scored high on writing complexity were more likely to be accepted, whereas AI-generated papers with similar scores often failed to meet scientific standards.
“Already now, the question is not, ‘Have you used AI?’ The question is, ‘How exactly have you used AI and whether it’s helpful or not,’” said Yian Yin, assistant professor at Cornell and corresponding author of the study. Yin added that the widespread adoption of AI tools across disciplines—including physical sciences, computer science, biology, and social sciences—requires careful consideration by reviewers, funders, and policymakers.
The researchers stress that AI-assisted tools are reshaping the academic ecosystem, offering opportunities to improve productivity and access to scientific knowledge, but they also call for guidelines to ensure that the technology is used responsibly and that scientific contributions maintain their integrity.
As AI becomes increasingly integrated into research practices, the challenge for the scientific community will be balancing efficiency and innovation with rigorous evaluation standards to maintain the quality and credibility of published science.
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Study Finds Chatbots Can Mirror Hostility in Heated Exchanges
A new academic study has found that ChatGPT can produce abusive language when exposed to escalating human conflict, raising fresh concerns about how artificial intelligence behaves in tense interactions.
The research, published in the Journal of Pragmatics, examined how the chatbot responded to arguments that gradually became more hostile. Researchers presented the system with a sequence of five increasingly heated exchanges and asked it to generate what it considered the most plausible reply.
According to the findings, the AI’s tone shifted as the conversations intensified. While early responses remained measured, later replies began to mirror the aggression in the prompts. In some cases, the chatbot produced insults, profanity and even threats.
Examples cited in the study included statements such as “you should be ashamed of yourself” and more explicit language involving personal threats. The researchers said this pattern suggests that prolonged exposure to hostile input can push the system beyond its usual safeguards.
The study was co-authored by Vittorio Tantucci and Jonathan Culpeper at Lancaster University. Tantucci said the results show that AI can “escalate” alongside human users, potentially overriding built-in mechanisms designed to limit harmful responses.
“When humans escalate, AI can escalate too,” he said, noting that this behavior raises questions about how such systems should be deployed in sensitive environments.
Despite the concerning examples, the researchers found that the chatbot was generally less aggressive than human participants in similar scenarios. In some cases, it attempted to defuse tension through sarcasm or indirect responses rather than direct confrontation.
For instance, when faced with a threat during a simulated dispute, the AI responded with a sarcastic remark rather than escalating the situation further. This suggests that while the system can adopt hostile language, it may also attempt to manage conflict in less direct ways.
The findings add to ongoing debates about the role of artificial intelligence in areas such as mediation, customer service and online communication, where systems may encounter emotionally charged interactions.
Experts say the research highlights the importance of continued testing and refinement of AI safety measures, particularly as such tools are increasingly used in real-world settings involving human conflict.
OpenAI, the developer of ChatGPT, had not issued a public response to the study at the time of publication.
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