How To Use Racial Bias in Facial Recognition Software?

RACIAL BIAS IN FACIAL RECOGNITION SOFTWARE

Presented By Stephanie Kim
Stephanie Kim
Stephanie Kim
Developer Evangelist/Software Engineer at Algorithmia
Stephanie Kim is a developer advocate at Algorithmia, where she enjoys writing accessible documentation, tutorials, and scripts to help data scientists learn how to productionize their models quickly and painlessly. Stephanie is the founder of Seattle PyLadies and a co-organizer of the Seattle Building Intelligent Applications Meetup. She enjoys machine learning projects, particularly ones where she gets to dive into unstructured text data to discover friction points in the UI or find out what users are thinking with natural language processing techniques. She loves to learn, write and talk about data science, machine learning and deep learning especially regarding racial bias in AI, and writing helpful and fun articles that make machine learning accessible to anyone.

Presentation Curriculum

RACIAL BIAS IN FACIAL RECOGNITION SOFTWARE
33:22
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