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Can Auditable AI Improve Fairness in Models?

Towards AI

I was reading an article on Wired about the need for auditable AI. Which would be third party software evaluating bias in AI systems. While it sounded like a good idea. But I couldn’t help think it’s…...

How to define fairness to detect and prevent discriminatory outcomes in Machine Learning

Towards Data Science

This can be achieved is by defining a metric that describes the notion of fairness in our model. For example, when looking at university admissions, we can compare admission rates of men and women…

Designing a Fairness Workflow for Your ML Models

Towards Data Science

In the first blog post of this series, we discussed three key points to creating a comprehensive fairness workflow for ensuring fairness for machine learning model outcomes. They are: We then delved…

A New Approach to Fairness in Machine Learning

R-bloggers

During the last year or so, I’ve been quite interested in the issue of fairness in machine learning. This area is more personal for me, as it is the confluence of several interests of mine: My lifelon...

An Introduction to Fairness in Machine Learning

Analytics Vidhya

The fundamental principle that Machine Learning (ML) espouses is ‘learning by example’. More clearly, a bunch of data is fed into a machine learning model and it attempts to uncover patterns in this…

A Tutorial on Fairness in Machine Learning

Towards Data Science

The content is based on: the tutorial on fairness given by Solon Bacrocas and Moritz Hardt at NIPS2017, day1 and day4 from CS 294: Fairness in Machine Learning taught by Moritz Hardt at UC Berkeley…

COMPAS Case Study: Fairness of a Machine Learning Model

Towards Data Science

Recent events around the world raise many questions — is the society we are living in biased to a particular sect. With many unanswered questions about the racial discrimination, lets explore a case…

Fairness in Machine Learning (Part 1)

Towards AI

Contents Fainess in Machine Learning Evidence of the problem Fundamental concept: Discrimination, Bias, and Fairness 1. Fairness in Machine Learning Machine learning algorithms substantially affect ev...

Evaluating Machine Learning Models Fairness and Bias.

Towards Data Science

Evaluating machine learning models for bias is becoming an increasingly common focus for different industries and data researchers. Model Fairness is a relatively new subfield in Machine Learning. In…...

A New Metric for Quantifying Machine Learning Fairness in Healthcare — ClosedLoop.ai

Towards Data Science

Several recent, high profile cases of unfair AI algorithms have highlighted the vital need to address bias early in the development of any AI system. For the most part, bias does not come into…

Explaining Measures of Fairness

Towards Data Science

This hands-on article connects explainable AI with fairness measures and shows how modern explainability methods can enhance the usefulness of quantitative fairness metrics. By using SHAP (a popular…

Algorithmic Fairness

R-bloggers

Algorithmic Fairness Tuesday, October 3rd, 2023, 7:30 PT / 10:30 ET / 16:30 CET 2nd joint webinar of the IMS New Researchers Group, Young Data Science Researcher Seminar Zürich and the YoungStatS Proj...