Author: lnbressa

Gender Shades

Accuracy, Artificial Intelligence, Face++, Gender Classification, IBM, Microsoft, Transparency

Author: Joy Buolamwini, Timnit Gebru; Publisher: MIT Media Lab; Publication Year: 2018. The following video discusses the Gender Shades project which evaluates the bias of 3 commercial artificial intelligence (AI) gender classification products (Microsoft, Face++,…
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Race, Technology, and Algorithmic Bias

Algorithmic Bias, Facial Recognition Systems, Racial Bias, Training Data

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…
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IBM Leads, More Should Follow: Racial Justice Requires Algorithmic Justice

AI Abuse, AI Bias, Equity, Facial Recognition Systems, IBM

Author: Joy Buolamwini, Aaina Agarwal, and Sasha Costanza-Chock; Publisher: The Medium; Publication Year: 2020. The following article applauds IBM for the decision to restrict sales of facial recognition technology in response to bias and abuse.…
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Keynote Speaker: Joy Buolamwini Presented by SpeakInc

Algorithmic Bias, Coded Gaze, Discriminatory Practices, Exclusionary Experiences, Facial Recognition Systems, Gender Gap, IBM, Racial Gaps

Author: Joy Buolamwini Publisher: SpeakInc Publication Year: 2018 Summary: In the following video, Joy Buolamwini expands on her mission of the ‘Coded Gaze’, her term for algorithmic bias which can lead to discriminatory practices or…
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How I’m Fighting Bias in Algorithms

Algorithmic Bias, Coded Gaze, Discriminatory Practices, Facial Recognition Systems, Fairness, Machine Learning, Representation in Training Datasets

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…
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Artificial Intelligence Has a Problem With Gender and Racial Bias. Here’s How to Solve It

Amazon, Artificial Intelligence, Discrimination, Facial Analysis Software, Gender Bias, IBM, Microsoft, Racial Bias, Safe Face Pledge

Author: Joy Buolamwini; Publisher: Time Magazine; Publication Year: 2019. In the following article, notable data ethics advocate Joy Buolamwini shares her journey combating gender and racial bias in artificial intelligence (AI). After encountering biased facial…
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The Algorithmic Justice League

Accountable AI, AI Bias, AI Harm, Artificial Intelligence, Awareness, Equitable AI

Author: Joy Buolamwini; Publisher: The Algorithmic Justice League; Publication Year: N/A. The following group is an organization that addresses the social implications and harms of artificial intelligence (AI) by raising public awareness about the impacts…
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Who Will Establish Metaverse Ethics?

Facial Recognition Systems, Governance Models, Inequality, Metaverse, Predictive Policing, Racial Bias, Virtual Reality

Author: Josh Entsminger, Mark Esposito, Terence Tse; Publisher: Project Syndicate; Publication Year: 2022. The following article discusses how the “metaverse” is a term describing a dystopian society characterized by the immersion of virtual reality into…
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The Ethics of People Analytics and AI in the Workplace: Four Dimensions of Trust

Artificial Intelligence, Decision-Making, Hiring, People Impact, Security

Author: Josh Bersin; Publisher: The Medium; Publication Year: 2019. The following article first establishes several ethical issues that can result from using artificial intelligence (AI) in hiring, managing employees, or making other decisions base on…
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