Using Generative AI in Research

dc.contributor.author	Frail, Kim & Kung, Janice
dc.date.accessioned	2025-05-01T15:59:49Z
dc.date.available	2025-05-01T15:59:49Z
dc.date.issued	2024-09-26
dc.description	The slides accompany a workshop that is intended for graduate students to learn more about generative AI in the context of the research lifecycle. This work is licensed under a Creative Commons license so that others may share and adapt the content for other purposes as long as appropriate credit is provided to the author of the work. To access the Google slides, click here: https://bit.ly/Library_AI_Research Learning Objectives At the end of the session participants will be able to: Demonstrate a basic understanding of how AI tools work Differentiate between grounded and ungrounded AI tools Identify key considerations for grad students/researchers Identify ways AI tools can be used to support the phases of the research lifecycle Identify main areas of concern with using AI tools Outline the steps and potential resources for evaluating and citing AI output
dc.identifier.doi	https://doi.org/10.7939/r3-f4b1-zq25
dc.language.iso	en
dc.relation	https://guides.library.ualberta.ca/generative-ai
dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0/
dc.subject	ChatGPT
dc.subject	Generative AI
dc.subject	Artificial Intelligence
dc.subject	Graduate Students
dc.title	Using Generative AI in Research
dc.type	http://purl.org/coar/resource_type/c_e059
ual.jupiterAccess	http://terms.library.ualberta.ca/public

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