Bias, fact-checking and evaluating information | 3 August

Much of the narrative around generative AI raises concerns about the quality and accuracy of the information it produces. We tell students they need to think critically and evaluate Generative AI outputs, but do they know how to do this?

Your librarians regularly design training for students to find and evaluate scholarly information for their assessments. In this workshop, we will provide case studies of our training that can be embedded for Spring and unpack what support your students need to become discerning consumers of information.

This session is part of the AI x L&T event series (31 July – 4 August)

Generative AI (GAI) has recently become more widely available and is impacting higher education, raising questions about the future of learning. Within UTS, conversations about GAI cover assessment, integrity, its role as a learning tool or administrative aid, and how humans’ roles will change in the workplace. To address these discussions and provide support, AI x L&T aims to create a visible forum for connecting individuals with similar ideas and challenges, reducing anxiety and facilitating informed action.

Event details

This event will be held online via Zoom. You will receive the Zoom link in your booking confirmation email.

Register for this event

Your video, audio and the meeting chat transcript may be recorded or photographed. Please advise the facilitator if you do not wish to be recorded or photographed.

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