Name: Coexistence with AI: UofT AI Ethics Hackathon
Start: 2025-03-01T09:00:00.000-05:00
End: 2025-03-08T17:15:00.000-05:00
Location: Coexistence with AI: UofT AI Ethics Hackathon

Coexistence with AI: UofT AI Ethics Hackathon

Create solutions and relating to AI Ethics

Who can participate

Above legal age of majority in country of residence
All countries/territories, excluding standard exceptions

View full rules

About the challenge

The UofT AI Ethics Hackathon is an exciting opportunity for participants to explore innovative ways to coexist with AI in everyday life, healthcare, and more. Participants will work in teams of 3 to develop human-centered, ethical AI-powered solutions without requiring code. The hackathon will focus on creating responsible AI systems that benefit individuals and society, addressing issues like bias, privacy, and fairness.

Get started

Participants will brainstorm ideas, create an ethical matrix balancing stakeholders and values, prototype in Figma, and build a pitch presentation. Teams will define a problem aligned with the theme of "Co-existence with AI" and subthemes including AI in healthcare, AI in every day life, and invisible AI. By the end of the day, participants will have a functional prototype and a clear business case that addresses the ethical use of AI.

Requirements

What to Build

Your team must create a solution aligned with the hackathon's theme and subthemes, analyzing it using ethical frameworks to ensure responsible AI use, and a prototype demonstrating how the solution would work. Projects should showcase innovation, feasibility, and ethical considerations.

What to Submit

Figma Designs/Prototype: Participants will submit wireframes or visual mockups in Figma. Prototypes should communicate the functionality and user experience clearly.
Slide Deck: A pitch presentation (PDF or slides) that explains the project, the problem it solves, its social and ethical impact, and how the AI technology functions.
Ethical AI Matrix: A completed ethical AI matrix that outlines the ethical considerations, stakeholders, and mitigation of potential AI risks. Include any and all iterations of the matrices, labelled by iteration number.