Most academics have not used artificial intelligence tools to help write their work, but a significant share believe that limited use of such tools is acceptable, according to a new survey by The Chronicle of Higher Education. The findings offer a nuanced snapshot of how faculty and researchers are navigating the rapid rise of generative AI in professional and academic settings.
The survey found that while outright use of AI for writing remains relatively uncommon among academics, attitudes toward its appropriateness are far from uniform. Opinions on what constitutes acceptable use varied notably by academic discipline, suggesting that norms around AI are developing unevenly across different fields of study rather than through any single institution-wide or profession-wide consensus.
The results reflect a broader tension playing out across higher education, where institutions are still working to establish clear policies on AI use at the same time that faculty are forming their own individual judgments. Many academics appear to occupy a middle ground — neither fully embracing AI-assisted writing nor categorically rejecting it — with context and degree of use serving as key factors in how they assess its legitimacy.
The survey adds to a growing body of research examining how generative AI tools such as ChatGPT are reshaping academic work, scholarly publishing, and the classroom. Earlier studies have found similar patterns of cautious engagement, with many researchers expressing concern about issues such as accuracy, attribution, and the integrity of the scholarly record, even as they acknowledge potential benefits in tasks like editing, summarizing, or overcoming writer’s block.
As universities continue to debate and revise their AI policies, surveys like this one provide useful evidence of where faculty attitudes actually stand — often more open to nuanced, case-by-case judgments than blanket prohibitions or endorsements might suggest.