Description
In this talk I cover 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 exploitability algorithms, attendees can expect clarification on what bias means in machine learning and how our models can perpetuate this bias in their predictions.
Resources
Ayodele Odubela
Data Scientist @ SambaSafety
Willem Meints
Microsoft AI MVP
