October 28–31, 2019
Tulsee Doshi

Tulsee Doshi
Product Lead, Google

Tulsee Doshi is the product lead for Google’s ML fairness effort, where she leads the development of Google-wide resources and best practices for developing more inclusive and diverse products. Previously, Tulsee worked on the YouTube recommendations team. She earned her BS in symbolic systems and MS in computer science from Stanford University.

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

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

sponsorships@oreilly.com

For information on exhibiting or sponsoring a conference

pr@oreilly.com

For media/analyst press inquires