Generative AI (artificial intelligence powered by large language models) can manipulate and generate text and media in response to arbitrary instructions. These new capabilities offer researchers opportunities and risks.
In recognition of these challenges, we have developed a guidance note outlining the University’s position on the use of generative AI in research, to inform understanding about the obligations associated with the use of this technology.
Areas covered include the use of generative AI for research publications, theses, peer reviews, and grant applications.
Next year, researchers will be invited to workshops offered by various faculties and the Centre for Applied AI to learn more about the role of generative Al in research. Details about the workshops will be shared on the staff intranet. A hands-on introduction to large language models like Bing Chat and ChatGPT, featuring Dr Brian Ballsun-Stanton, Solutions Architect (Digital Humanities) from the Faculty of Arts, is now available to view.
Resources and workshops are listed on the Research Data Management Sharepoint, where you can register for updates about generative AI training.
If further information is required about responsible use of generative AI in research, contact your faculty research integrity advisor.
View the guidance note here.
Back to homepage
Comments
We encourage active and constructive debate through our comments section, but please remain respectful. Your first and last name will be published alongside your comment.
Comments will not be pre-moderated but any comments deemed to be offensive, obscene, intimidating, discriminatory or defamatory will be removed and further action may be taken where such conduct breaches University policy or standards. Please keep in mind that This Week is a public site and comments should not contain information that is confidential or commercial in confidence.