EQUATE & Machine Learning Blog

Day: April 7, 2022

Computing Must Pay Attention to Outcomes to Achieve Equity

Posted: April 07, 2022 Under: Fairness Machine Learning ML for Healthcare Privacy Social Science Transparency By Michelle Trim

There is a push right now across ACM that is gathering momentum. This push is for increased attention to cultural competency [12] in the training of computing professionals. In fact, the CS202X: ACM/IEEE-CS/AAAI Computer Science Curricula Taskforce [4] has a knowledge area subcommittee devoted to SEP or Society, Ethics, and Professionalism [5]. This subcommittee is … Continue reading "Computing Must Pay Attention to Outcomes to Achieve Equity"

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How to train models that do not propagate discrimination?

Posted: April 07, 2022 Under: Artificial Intelligence and Machine Learning Core ML EQUATE Fairness Machine Learning Social Science Transparency By Przemyslaw Grabowicz, Nicholas Perello, Aarshee Mishra

Powerful machine learning models can automatize decisions in critical areas of human lives, such as criminal pre-trial detention and hiring. These models are often trained on large datasets of historical decisions. However, past discriminatory human behavior may have tainted these decisions and datasets with discimination. Therefore, it is imperative to ask how can we ensure … Continue reading "How to train models that do not propagate discrimination?"

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Regulating Face Recognition Technology: An Introduction

Posted: April 07, 2022 Under: Computer Vision EQUATE By Erik Learned-Miller

Face recognition technology, the ability for computers to identify people from photos or videos of their faces, has become increasingly controversial in the last few years. The software is rapidly becoming more common in applications from police work and surveillance to smart phone access, entertainment applications, and even medical diagnosis. There are those who wish … Continue reading "Regulating Face Recognition Technology: An Introduction"

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