How to Test Models for Fairness with Fairlearn Deep-Dive

Created by Mudabir Qamar Ansari, Modified on Mon, 14 Dec, 2020 at 5:08 PM by Mudabir Qamar Ansari

Join us to learn about our open source machine learning fairness toolkit, Fairlearn, which empowers developers of artificial intelligence systems to assess their systems' fairness and mitigate any observed fairness issues. Fairlearn focuses on negative impacts for groups of people, such as those defined in terms of race, gender, age, or disability status. 


For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy. 

 

Also, if you need any further assistance then you can raise a support ticket (https://cloud.foetron.com/) and get it addressed.

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