News
On July 16, 2020, participants gathered to watch the AI Meetup from the comfort of their homes. The event featured:
Data Scientist at G2V Optics
We are still in the early days of determining what ethical practice looks like for the field of data science. There are numerous examples of both benefits and harms of artificial narrow intelligence. As AI-enabled technology continues developing, ethics provides a lens to ask critical questions of both modeler and model. During this talk, Nick will explore a brief overview of who is working on AI ethics; the themes of work; where we are lacking development; and what to do as data scientists about this continuous journey of ethics.
ML Lead at Vector Institute
When a Machine Learning scientist starts a project with a healthcare professional, it is not obvious what questions are important to ask in order to help the team get on the same page and develop clear expectations. This talk will discuss Collabsheets, a list of questions directed at a broad audience that translates insights from experienced veterans in the ML-Health collaborative space into the field to everyone. The goal is to help grow the community by lowering the initial barrier to much-needed interdisciplinary collaboration. Each section divides these questions into topic categories, with the aim of easier real-world use.
Thanks to all who were able to join us! If you missed July's Meetup, watch it now:
Join us on September 17 for our next Virtual AI Meetup! Register here.
Jul 24th 2024
News
How do we get the best results when AI and human beings work together? In this episode of Approximately Correct, we’re looking into Human-In-The-Loop AI with Amii Fellow and Canada CIFAR AI Chair Matt Taylor.
Jul 22nd 2024
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Read our monthly update on Alberta’s growing machine intelligence ecosystem and exciting opportunities to get involved.
Jul 18th 2024
News
Amii announces work with Communitech, a Waterloo Region innovation hub, to empower startup founders with the AI tools and resources they need to integrate AI and build in-house capabilities successfully. The collaboration will leverage Amii’s leading AI expertise and resources and be centred around Amii’s Machine Learning Exploration (ML Exploration) program.
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