Jun 20, 2020

How to Combat Bias in Data and Machine Learning Models

Presented by Juneteenth Conference.

In this talk, Ayodele Odubela covers how to see the bias in your data and machine learning models. By giving examples from recent research on biased facial recognition systems as well as cutting edge explainability algorithms, attendees can expect clarification on what bias means in machine learning.

Ayodele Odubela is a Data Scientist working on driver risk mitigation at SambaSafety in Denver, CO. Previously she earned her Master’s degree in Data Science after transitioning to tech from social media marketing. She’s created algorithms that predict consumer segment movement, goals in hockey, and the location of firearms using radio frequency sensors.

Juneteenth Conference is a free virtual tech conference made for and featuring Black people in Technology. The conference celebrates Black Excellence and promotes community for Black people who are severely underrepresented, overlooked, and underutilized in the tech industry.