Deep Learning Dialogues
Deep Learning Dialogues

Redefining Tech Education: Inside Mila’s AI for Good Lab

04 December 2025 36:45 Katrina Gouett and Whitney McKinley

Listen to episode

About this episode

In this episode, hosts Katrina Gouett and Whitney McKinley welcome Jennifer Addison, Project Manager for the AI for Good Lab at Mila, Quebec’s artificial intelligence institute. Jennifer details the lab’s mission to equip women and gender-diverse individuals with the skills to build machine learning projects, fostering a more inclusive tech culture and inspiring leaders to use AI for social good. The conversation explores the power of curiosity-driven learning and the importance of creating safe, grade-free environments where students feel empowered to ask questions, collaborate rather than compete, and challenge the status quo. They also discuss how K-12 educators can adopt these principles by becoming co-learners alongside their students to navigate the evolving AI landscape together.


Jennifer Addison is the Project Manager for the AI4Good Lab at Mila - Quebec Artificial Intelligence Institute. The Lab is a 7-week program that equips women and gender diverse people with the skills to build their own machine learning projects. The program is designed to open doors for those who have historically been underrepresented in the AI industry, contribute to a more inclusive and diverse tech culture and to inspire the next generation of leaders to use AI as a tool for social good.

Prior to Mila, Jennifer worked in Human Resources at the Business Development Bank of Canada where she contributed to the development and advancement of the corporate Diversity, Equity, Inclusion and Accessibility strategy. With over a decade of experience in the non-profit sector, in the US and Canada, she specializes in developing and implementing programs designed to address and disrupt structural inequities and discrimination experienced by equity-deserving communities.

You can find Jennifer on LinkedIn

Want to know more?

You can check out our: WCDSB GenAI Guidelines, infographics, and Innovation website: https://innovate.wcdsb.ca/

Feedback? You can ask your questions or give us feedback on the show here 

Want to get in touch? Contact Katrina & Whitney by email at: [email protected] and [email protected] or on LinkedIn


Hosted on Acast. See acast.com/privacy for more information.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Deep Learning Dialogues. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.