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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.

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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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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.

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The University of Waterloo’s TRuST network, an interdisciplinary project investigating the importance of building trust in scientific and technological research, is pleased to welcome its inaugural postdoctoral scholar Dr. Paula Catalina Sanchez Nuñez de Villavicencio.

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The Faculty of Science Foundation presents:

Tim Caulfield
Professor of Health Law and Science Policy | Bestselling Author

The spread of misinformation seems to intensify with each passing week. Indeed, it is a defining characteristic of our time! And research tells us that misinformation is doing tangible harm — to public health, mental health, public discourse, personal relationships, and public trust. How did we get here, why do people believe, and what can we do about it?

In this presentation Professor Timothy Caulfield explores what the most recent evidence tells us about the nature and source of the current infodemic. He will also provide science-informed recommendations about how best to engage individuals and communities.

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This opinion piece by Dr. Mary Wells, dean of Waterloo Engineering Dr. Donna Strickland, a professor in the department of Physics and Astronomy and Dr. Ashley Rose Mehlenbacher, an associate professor in the English Language and Literature department, appeared in the Hill Times, a popular news source for Canadian politics and government news.

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To preserve trust in science in the age of AI, it is essential to prioritize transparency, ethical standards, and rigorous peer review. Scientists and AI developers should clearly communicate their methodologies, data sources, and potential biases to the public. Establishing and adhering to strict ethical guidelines ensures that AI applications are used responsibly and for the public good.

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