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Current computer graphics research practices contain racial biases that have resulted in investigations into skin and hair that focus on the hegemonic visual features of Europeans and East Asians. To broaden our research horizons to encompass all of humanity, we propose a variety of improvements to quantitative measures and qualitative practices, and pose novel, open research problems.
To support the 2019 U.S. Supreme Court case Flowers v. Mississippi, APM Reports collated historical court records to assess whether the State exhibited a racial bias in striking potential jurors. This analysis used backward stepwise logistic regressi
In current hate speech datasets, there exists a high correlation between annotators perceptions of toxicity and signals of African American English (AAE). This bias in annotated training data and the tendency of machine learning models to amplify it
Despite the evolution of norms and regulations to mitigate the harm from biases, harmful discrimination linked to an individuals unconscious biases persists. Our goal is to better understand and detect the physiological and behavioral indicators of i
Multiple studies have demonstrated that behavior on internet-based social media platforms can be indicative of an individuals mental health status. The widespread availability of such data has spurred interest in mental health research from a computa
Many graphics and vision problems can be expressed as non-linear least squares optimizations of objective functions over visual data, such as images and meshes. The mathematical descriptions of these functions are extremely concise, but their impleme