Welcome to the inaugural issue of the Toronto AI Review!

My name is Hana Greenberg, and I have the privilege of being your Editor in Chief for this academic year. We’re a branch of the UofT AI Group at the University of Toronto, where we’re committed to fostering the next generation of AI enthusiasts. Beyond hosting conferences and events, we provide a collaborative environment where students can learn, network, and work on AI projects with industry professionals.

This Review is an extension of our organization: a print and online journal that highlights the innovations of researchers, founders, and engineers on the frontier of AI, machine learning, and emerging computation in Toronto.

Toronto – especially UofT – has long been recognized as a hub of AI research and innovation. Recently, Professor Emeritus Dr. Geoffrey Hinton solidified Toronto’s place on the map with his Nobel-winning research on artificial neural networks. In his keynote at Toronto Tech Week 2025, he proposed regulating AI by making it “mortal;” that it should have a predetermined expiration date. This model could eliminate indefinite energy usage and increase user data security. More importantly, Hinton’s proposal signals a commitment to meaningful and ethical AI innovation: instead of progressing for the sake of progression, “good” AI usage considers AI’s impacts on future generations, and policies to ensure ethical applications of the technology. 

As such, it was only fitting that our first issue seeks to answer the question: What is “Good AI?”

I invite you to ruminate on this as you read the thought-provoking articles written by our associates. Each section lends a new perspective related to AI, specifically “Good AI:” 

• Radar discusses innovations, frontiers, and newly developed concepts; 

• Feature showcases interdisciplinary essays and academic research; 

• Experience features the stories and interviews of stakeholders in the AI field; and 

• Column: Call and Response is an opinion section written in response to a recently published academic article.

This issue, we have articles on subjects ranging from financial modelling, education systems, climate change, and data training to inform your understanding of what “Good AI” truly means.

I hope the Review acts as a starting point for you to reflect how you – as scholars, researchers, professors, and citizens – believe AI should be shaped. Don’t close the Review with a conclusion; let it be the beginning of a dialogue that challenges assumptions, fosters collaboration, and sparks new ways of imagining what a future with purposeful AI could be. 

Thank you to Sonia and Dev, our Co-Presidents of UofT AI, for trusting me with the vision of the Review. Thank you also to our Publishing Associates for your invaluable contributions. Most of all, thank you, reader, for coming along this journey with us.

Sincerely,

Hana Greenberg
Head of Publishing | UofT AI