The Faculty of Arts is meeting Generative AI disruption in thoughtful, bold, and inclusive ways.
AI is changing our world - how we learn, teach, work and even how we relate to each other. It's not just about technical skills. The people who will thrive in this new world are the ones who can thoughtfully engage with it. Creativity, critical thinking skills, ethics, economics, politics and human behaviour are all part of an Arts education, and we're working in bold new ways to tackle some of the most pressing challenges society is facing.
"At a moment when post-secondary education faces unprecedented disruption from AI technologies, some may be tempted to question the value of humanities, social sciences and creative arts. In fact, I’m excited about the future. This moment presents a golden opportunity for Arts to lead as we realize our strategic vision of advancing human intelligence for the benefit of all."
- Alexie Tcheuyap, Dean of Arts
Banner image: recent student Sabrina Tam working in the English Reading Room. Photo by Emily Ysselstein.
News
AI, art and impact: MFA grad receives Alumni Gold Medal
James Malzahn explores AI, surveillance and human perception through immersive art to challenge audiences to question truth, authorship and the impact of emerging technologies
How the history of IQ testing shapes AI and education today
The history of IQ testing reveals how ideas about intelligence have been used to justify racism and exclusion, raising concerns about how AI could reinforce these biases in education.
Making better health decisions in the age of AI
Postdoctoral researcher Dr. Trent Cash says that understanding your thought process and priorities can improve healthcare decisions – and AI might be able to help
Events
Energy-Efficient AI: Why brains use much less power than AI, and how this might help us improve current AI
Associate Research Officer Terry Stewart explores why brains are far more energy-efficient than AI systems, highlighting differences in how they process information. It examines how brain-inspired algorithms and neuromorphic hardware could make AI more efficient by mimicking how the brain represents time and space.