Author: Jonathan Hofer; Publisher: Medium; Publication Year: 2020. The following article focuses on Cincinnati but is applicable nationwide. Their biased policing data is feeding into creating a biased predictive model. A case of “garbage in,…
Author: Jonathan Davis; Publisher: The Medium; Publication Year: 2020. The following article discusses how confirmation bias is a subtle form of bias that can cause data scientists to ask questions that are prone to confirming…
Author: John P. Mello Jr.; Publisher: Tech News World; Publication Year: 2022. The following article discusses how bias in artificial intelligence (AI) systems can result in significant losses for companies, according to a new survey…
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: Joe McKendrick; Publisher: ZDNet; Publication Year: 2022. The following article discusses the importance of data accuracy when building non-biased artificial intelligence (AI) models. At the heart of AI models is data, and so it…
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…
Author: Jessica Davis; Publisher: Information Week; Publication Year: 2022. The following article discusses how artificial intelligence (AI) bias is a relatively new phenomenon that has serious implications. Among organizations that experienced negative AI bias, 62%…