How Copyright Law Can Fix Artificial Intelligence's Implicit Bias Problem

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Foundation Models and Fair Use (2023, background): “But others have pointed out that such filtering strategies can have harmful effects (Bartholomew, 2014; Boroughf, 2015; Lim, 2022; Levendowski, 2018).”
Retiring Adult: New Datasets for Fair Machine Learning (2021, background): “In contrast, some notable datasets in machine learning are collected in an ad-hoc manner, plagued by skews in representation [10, 13, 32, 33], often lacking copyright [24] or consent from subjects [30], and involving unskilled or poorly compensated labor in the form of crowd workers [18].”
Translation Tutorial : A Shared Lexicon for Research and Practice in Human-Centered Software Systems (2018, background): “For example, in Levendowksis piece, “How Copyright Law Can Fix Artificial Intelligences Implicit Bias Problem” (Levendowski, 2018), she equates implicit bias, a well-documented cognitive phenomenon present in wetware, with algorithmic bias, which occurs in software systems that must make their…”