Responsible AI with TensorFlow (TF Dev Summit '20)

Introducing a framework to think about ML, fairness and privacy. This talk will propose a fairness-aware ML workflow, illustrate how TensorFlow tools such as Fairness Indicators can be used to detect and mitigate bias, and will then transition to a specific case-study regarding privacy that will walk participants through a couple of infrastructure pieces that can help train a model in a privacy preserving manner. Speakers: Catherina Xu - Associate Product Manager Miguel Guevara - Product Manager Resources: TensorFlow Federated → https://goo.gle/2PtAp2f GitHub TF Federated → https://goo.gle/2wYBWb5 GitHub TF Privacy → https://goo.gle/2I7XpRg Watch all TensorFlow Dev Summit 2020 sessions → https://goo.gle/TFDS20 Subscribe to the TensorFlow YouTube channel → https://goo.gle/TensorFlow