This week, Translucent Computing has completed the “Bias in AI” course, co-sponsored by the Vector Institute and NRC IRAP. This multi-week course offered a deep dive into a range of fairness and bias problems in AI applications, providing a great way to learn and discuss existing methodologies for addressing pressing issues related to bias in artificial intelligence. The course culminated in a capstone presentation where our team showcased our point of view on how to address growing AI bias in healthcare diagnostic imaging research.
“The Bias in AI course was an amazing experience for the entire Translucent Computing team who participated over the last 6 weeks. We touched on a number of issues related to bias that also pertain to our business, and are excited to improve our products and services with the necessary AI bias mitigation strategies that are becoming increasingly important both now and in the future.” – Michael Lagowski, VP Strategy and Product Development.
As Translucent continues to grow and develop their AI and machine learning capabilities, we are working towards becoming a part of the AI leadership movement in Canada, where one of the goals is to develop standardization and governance practices towards more equal and egalitarian AI solutions. Keeping in mind the different AI bias challenges as we develop additional enterprise-level AI capabilities will be the big focus for our team going into 2021.
For their participation in the program, Patryk Golabek, Michael Lagowski, and Sandro Coelho each received a certificate of completion:
April 7th, 2021⟵ Back
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