We are excited to share our Spring & Summer 2025 courses: “The Short Story” and “The Master Student”!
Both courses are available to register into TODAY.
Visit: Register for spring/summer classes – Admissions @ Brock

Spring 2025 Courses – 1
Friday, February 28, 2025 | By Melissa Vanatte
We are excited to share our Spring & Summer 2025 courses: “The Short Story” and “The Master Student”!
Both courses are available to register into TODAY.
Visit: Register for spring/summer classes – Admissions @ Brock

Spring 2025 Courses – 1
Thursday, February 20, 2025 | By Melissa Vanatte
Join us on Wednesday, February 26 at 12:30 pm at TH257 at The Marilyn Rose Lecture: AI and Ethics panel!
Panel “AI and Ethics”: Chaired by Sarah Stang (Digital Humanities) 12:30-1:30
David Hutchison (Brock DH): Ethical Issues Arising from Incorporating AI into the Academic Publishing Process
Jessie Hendriks (Queen’s EDUC): Which Way is Up? Charting a Course in a Moment of Uncertainty
Maya Karanouh (Brock HUMA): Decoding Authorship: Generative AI’s Ethical Battle over Copyright
Lecture 1:45-400pm
Giacomo Miceli: “Art and AI: creative emancipation and loss of meaning”
Description: Generative AI presents new opportunities and threats. While it’s clear that anyone can now make music without an instrument or paintings without a brush, not enough attention is dedicated to the looming crisis of meaning. In capitalist terms: too much product, too few buyers.
Bio: Giacomo Miceli is an artist, computer scientist, and entrepreneur. As a digital artist, his pursuits focus on the intersection between technology, creativity, and the human experience via global cultures and languages. His thought-provoking works, marked by themes of journey and transformation, have gained worldwide recognition and often expose the compelling, but insidious nature of technology.
Lai-Tze Fan: “Facial Recognition AI and Ethics: Responsible Approaches to Data Collection”
Description: This talk will focus on my work at the University of Waterloo as Director of The U&AI Lab, which uses research-creation methods for enhanced EDI (equity, diversity, inclusion) outcomes in AI design. In particular, my talk will center on a case study related to facial recognition AI and my Lab’s efforts to develop ethical methods for enhancing the racial diversity of datasets available to product designers working in this space.
Bio: Lai-Tze Fan is the Canada Research Chair in Technology and Social Change, and an Associate Professor of Sociology & Legal Studies and English Literature at the University of Waterloo, Canada. She is Associate Professor II at the Center for Digital Narrative in the University of Bergen, Norway, and the Director of The U&AI Lab at Waterloo. She is on the Board of Directors of Waterloo’s TRuST scholarly network, targeting misinformation and public trust in AI. She was a 2024 Delegate of the Science Meets Parliament program, through which she works with Canadian politicians and policy makers on AI regulation.
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