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Generative AI for Researchers

While McMaster is home to world-class research that uses generative artificial intelligence or explores generative artificial intelligence as a field of study, for some researchers the use of generative AI may be new and some of the possibilities and limitations of these tools may be unfamiliar. Likewise, the rapidly developing capabilities of generative AI sees academic journals and publishers grappling with the use of generative AI in the research and writing of academic work.

If you have a suggestion for a resource that would be helpful for researchers related to generative AI - we want to hear from you.

Get in touch

Endorsed by the McMaster AI Advisory Committee the Provisional Guidelines on the Use of Generative AI in Research were published in January 2025. The Guidelines also include a conversation guide for supervisors and graduate student research students.

Review the Provisional Guidelines on the Use of Generative AI in Research

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Request a workshop or facilitated meeting Get in touch

You can request a custom workshop or facilitated meeting for your research group, program or department about the possibilities and limitations of generative AI in research.

Making AI Generative for Higher Education Learn more about the study

McMaster is taking part in a multi-institutional, North American research study led by Ithaka S + R to understand how generative AI is shaping the post-secondary sector, including teaching/learning and research.

McMaster Citation Guide Read the citation guide

The Library created this citation guide to help educators and students understand when and how to cite generative AI in their written work.

Are you researching an aspect of generative AI? Get in touch

We are exploring how to bring together researchers engaged in work using or about generative AI. If you are interested in connecting with other researchers in this area or in having your research profiled or included in our bibliography below, please reach out.