October 28–31, 2019
Christina Greer

Christina Greer
Software Engineer, Google

Christina Greer is a software engineer on the Google Brain team. She focuses specifically on machine learning fairness in the context of model evaluation and understanding, and scaling up solutions for ML fairness to support many teams across Google. Previously, Christina worked on building infrastructure to support diverse Google products: Google Assistant, Cloud Dataflow, and ads. Working in this area of ML fairness allows her to combine building infrastructure at Google scale with advancing efforts to avoid creating or reinforcing existing biases. Christina earned her BS in computer science from the University of Kansas.

Sessions

4:10pm4:50pm Wednesday, October 30, 2019
Location: Grand Ballroom E
Tulsee Doshi (Google), Christina Greer (Google)
Average rating: *****
(5.00, 2 ratings)
ML continues to drive monumental change across products and industries. But as we expand ML to even more sectors and users, it's ever more critical to ensure that these pipelines work well for all users. Tulsee Doshi and Christina Greer announce the launch of Fairness Indicators, built on top of TensorFlow Model Analysis, which allows you to measure and improve algorithmic bias. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • NVIDIA
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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