Conference Video: Navigating the Inevitable Bias Your ML Models Will Perpetuate

This is Dr. Charna Parkey’s presentation from WiDS Puget Sound Conference 2021. Enjoy!

ABSTRACT:

To advance society, data scientists must consider what we are accountable for, who we are accountable to and where our accountability extends regarding ML & bias. Fortunately, when enough individuals take on this burden, larger systems of accountability will be created. But where do we start?

BIO:

Dr. Charna is a Data Science Lead at Kaskada on the product team working to deliver a feature engineering platform for machine learning. With over 15 years’ experience in data science in the defense and startup tech sectors she has worked with dozens of Fortune 500 companies to combat systemic oppression with data science.