Google Relies on These Open Source Indicators to Build Fair Machine Learning Systems

The new toolset enables to quantify fairness metrics for machine learning models

Jesus Rodriguez
DataSeries

--

Source: https://www.microsoft.com/en-us/research/blog/machine-learning-for-fair-decisions/

I recently started a new newsletter focus on AI education. TheSequence is a no-BS( meaning no hype, no news etc) AI-focused newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers and concepts. Please give it a try by subscribing below:

Ethics is one of the disciplines that must accompany the evolution of artificial intelligence(AI) systems. Building AI agents that provide ethical outcomes is one of the foundational challenges of the next decade of machine learning systems. Among the different aspects of ethical systems, fairness is one that deserves particular attention. The idea of a fair machine learning model is one whose outcomes don’t favor any particular group based on a specific bias. Conceptually, the idea of fair machine learning systems seems incredibly intuitive but how can we materialize it technically…

--

--

Jesus Rodriguez
DataSeries

CEO of IntoTheBlock, President of Faktory, President of NeuralFabric and founder of The Sequence , Lecturer at Columbia University, Wharton, Angel Investor...