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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
DownloadFall 2022
In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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Fall 2020
A widely held, stereotyped belief is that students with autism tend to be mathematically gifted. This stereotype has some support in the annals of autism research, but more recently, researchers have revealed that the rates of both math giftedness and math weakness and/or disability among...
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Fall 2023
Hoveling, Léonie Antoinette Maria
Background: Autistic individuals are often stereotyped as gifted mathematicians and, as a result, autistic traits and behaviours are generally believed to lead to exceptional mathematical ability. Much of society’s collective understanding of autism is based on media representations, which often...
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Spring 2020
Although Planning, Attention, Simultaneous and Successive (PASS) processing theory of intelligence has been argued to offer an alternative look at intelligence and PASS processes – operationalized with the Cognitive Assessment System – have been used in several studies, it remains unclear how...