Author: Kirsten Hoogenakker Publisher: DataDrive Publication Year: 2021 Summary: The following article discusses how math has generally been thought of as a completely unbiased form of research. Numbers are numbers, how could they be biased?…
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2022. In the following article, Karen Hao writes the final story in a 5 part series on artificial intelligence (AI) colonialism. Parts 1 through 4 were…
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article discusses how in March of 2019, NBC released a story with the headline “Facial recognition ‘dirty little secret’: Millions of online photos…
Author: Joy Buolamwini, Latanya Sweeney, and Darren Walker; Publisher: Radcliffe Institute for Advanced Study, Harvard University; Publication Year: 2019. The following video documents a conversation between Joy Buolamwini, Latanya Sweeney, and Darren Walker. Leading the…
Author: Joy Buolamwini; Publisher: TED; Publication Year: N/A. The following speech discusses how algorithmic bias, or the “coded gaze,” can lead to discriminatory practices. Machine learning is being used for facial recognition but a lack…
Author: John Murray; Publisher: The Guardian; Publication Year: 2019. The following article gives several real-life examples of times when unchecked bias had serious consequences. For example, unchecked bias in the COMPAS program caused Black defendants…
Author: Joanna Kaminska; Publisher: Statice; Publication Year: 2022. The following article discusses how it is important to know that while working with data there is a possibility that the data is biased; this is a…
Author: Jim Box, Elena Snavely, and Hiwot Tesfaye; Publisher: SAS Global Forum; Publication Year: 2022. The following paper discusses how it is a common consensus that artificial intelligence (AI) and machine learning (ML) are going…