Overview: The use of Generative AI in academic research is hotly debated because it offers many benefits, alongside unique challenges and risks. Generative AI can help generate novel research ideas based on existing literature. For example, it can scan many scientific papers and propose potential research gaps or areas that have not been previously explored. It can also be used to draft and structure research proposals by providing literature reviews, defining research questions, suggesting methodologies, and predicting possible outcomes. Research proposals for grant applications require clear, precise and persuasive language, and AI models can refine text to these ends to increase the chances of funding. Given these powerful capabilities, researchers and funders should consider the risks associated with using this technology, including the ethics of reliance on these tools, concerns about intellectual ownership and confidentiality, and the quality and quantity of generated research proposals.
Presenter: Michael Lam, NSERC’s Chief Data Officer
Audience: Faculty members and trainees
Disciplines:
Health and Life Sciences
Social Sciences and Humanities
Natural Sciences and Engineering
Date: May 21, 2025 | 10 to 11a.m.
Venue: Please email oris@uleth.ca for the link to join the meeting.
Contact:
Esther Ekpe Adewuyi | oris.nserc@uleth.ca | (403) 332-4433