Human Bias in Machine Learning


Time: 2-2:45 PM EST

Workshop Leader

Jim Box, Principal Data Scientist, SAS

Many people believe that by letting an “objective algorithm” make decisions, bias in the results have been eliminated.  Instead of ushering in a utopian era of fair decisions, AI and Machine Learning have the potential to exacerbate and multiply societal bias.  This workshop will explore the history of bias in models, examine different types of bias and their origins, and discuss how to check for and mitigate bias from our models.  Ultimately, the promise of AI and Machine Learning is still a reality, but only with intentional and thoughtful human oversight.

There is no need to register for this individual session, to register for Datapalooza go here.