Machine Learning Fairness - What can we do to create smarter and more inclusive products?
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• May 2021
Machine Learning Fairness - What can we do to create smarter and more inclusive products?
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About
Machine Learning Fairness - What can we do to create smarter and more inclusive products?
About
As an AI-first company, Google aims to develop the benefits of machine learning for everyone.
Building inclusive machine learning algorithms is crucial to help make the world’s information universally useful and accessible.
ML fairness is a critical consideration in machine learning development. This session will present a few lessons Google has learned through our products and research and how developers can apply these learnings in their own efforts.
This session will enable developers to proactively think about fairness in product development.
Language
English
Level
Beginner
Length
35 minutes
Type
online conference
About the speaker
About the speaker
Lee Boonstra
Developer Advocate •
Google
Lee Boonstra has been at Google since 2017. She is a conversational AI expert and has helped many businesses develop AI-powered chatbots and voice assistants at an enterprise scale. They are building intelligent AI platforms on the Google Cloud Platform using Dialogflow for intent detection and natural language processing, speech recognition technology, and contact center technology. She is also the author of the Apress Book: The Definitive Guide to Conversational AI
Details
Language
English
Level
Beginner
Length
35 minutes
Type
online conference
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