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Tuesday, February 25, 2025

Transparent, Detailed, Ethical – An Introduction to the Artificial Intelligence Disclosure (AID) Framework

TRuST’s Dr. Kari D. Weaver recently presented Transparent, Detailed, Ethical – An Introduction to the Artificial Intelligence Disclosure (AID) Framework.  The AID Framework tool provides a transparent, consistent, and targeted approach to attribute the use of AI in teaching and research work. AI disclosure builds a culture of academic and research integrity, enhancing trust in AI supported work across academia.  The presented workshop addressed the current state of artificial intelligence disclosure, academic integrity in relation to artificial intelligence use, and introduced the elements of the AID Framework, provided example AI disclosure statements using the AID Framework, and addressed key concerns and questions of participants.

Listen to the full webinar →

Thursday, February 13, 2025

Do we trust ourselves? Is the human the weak link?

Generative artificial intelligence tools are becoming ubiquitous in applications across personal, professional and educational contexts. Similar to the rise of social media technologies, this means they are becoming an embedded part of people's lives, and individuals are using these tools for a variety of benign purposes. This article examines how existing information literacy understandings will not work for artificial intelligence literacy, and provides an example of artificial intelligence searching, demonstrating its shortcomings.

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Wednesday, November 6, 2024

The Artificial Intelligence Disclosure (AID) Framework

TRuST's Dr. Kari D. Weaver, University of Waterloo Libraries, has published the Artificial Intelligence Disclosure (AID) Framework. The new tool recognizes the need for consistent, transparent disclosure of artificial intelligence use across learning and research contexts. The AID Framework addresses this gap by providing a structured and detailed approach to such disclosure.

Read the full story →

Tuesday, October 1, 2024

Dean Wells calls out the GenAI risks to women

This opinion piece by the University of Waterloo’s Dr. Mary Wells, dean of Engineering; Dr. Lai-Tze Fan, Canada Research Chair in Technology and Social Change; and Dr. Ashley Mehlenbacher, Canada Research Chair in Science, Health, and Technology Communication, appeared in the Toronto Star.

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Wednesday, September 18, 2024

Navigating Misinformation: Trust in Information in the Digital Age

Misinformation. Disinformation. Malinformation. Navigating the vast amounts of information we encounter daily has never been more challenging. A panel discussion hosted by the University Librarian Beth Sandore Namachchivaya, featuring librarians Brie McConnell and Kate Mercer, and Associate Professor and Director of Waterloo's U&AI Lab, Lai-Tze Fan.

Event Details →