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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.
Apr 8th 2024
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Amii Fellows share tips on how to make the most of your conference experience.
Mar 26th 2024
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In this month's episode, Alona talks about how ChatGPT changed the public’s perception of what AI language models can do, instantly making most previous benchmarks seem out of date, and the excitement and intensity of working in a fast-moving field like AI.
Mar 18th 2024
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Google.org announces new research grants to support critical AI research in Canada focused on areas such as sustainability and the responsible development of AI. The grant will provide a total of $2.7 million in grant funding to Amii, the Canadian Institute for Advanced Research (CIFAR) and the International Center of Expertise of Montreal on AI (CEIMIA).
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