Category: Bias

Ethical AI: Five Guiding Pillars

Bias Mitigation, Cybersecurity, Employee Preparation, Ethical AI, Governance, Transparency

Author: Todd Lohr, Tracy Gusher; Publisher: KPMG International; Publication Year: 2019. The following report contains policies and actions that can be implemented to operate an ethical artificial intelligence (AI). The 5 pillars are: 1). Prepare…
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Datasheets for Datasets

Algorithmic Misuse, Data Collection, Dataset Creation, Machine Learning, Reinforced Bias

Author: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford; Publisher: Microsoft; Publication Year: 2019. The following proposal identifies that as the field of machine learning has grown,…
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Google Has a Striking History of Bias Against Black Girls

Algorithms, Biased Algorithms, Black Women, Google, Search Engine

Author: Safiya Noble; Publisher: TIME Magazine; Publication Year: 2018. The following article talks about how Google’s search algorithm is biased against the Black woman. It shows and talks about the author’s own identity as a…
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Ethical Use of Big Data in Financial Services

Algorithms, Data Usage, Decision-Making, Risk Management

Author: N/A; Publisher: Institute of Chartered Accountants in England and Wales; Publication Year: N/A. The following article talks about how the boards need to lead their businesses on the “right thing to do,” both in…
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Algorithmic Bias Explained: How Automated Decision-Making Becomes Automated Discrimination

Algorithmic Bias, Credit Worthiness, Lending Algorithms, Racial Bias

Author: N/A; Publisher: The Greenlining Institute; Publication Year: 2021. The following article discusses algorithmic biases in credit and finance, healthcare, employment, government programs, education and housing. Focusing in on algorithmic bias in credit and finance,…
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CARE Principles for Indigenous Data Governance

Consent, Data Approaches, Data Privacy, Data Standards, Indigenous Peoples, Indigenous-Designed

Author: N/A; Publisher: The Global Indigenous Data Alliance; Publication Year: 2022. The following guidelines set out the minimum requirements for Indigenous-designed data approaches and standards, which can be generalized to all approaches and standards to…
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Building an ethical framework for data science and AI in the criminal justice system

Artificial Intelligence, Criminal Justice System, Ethical Data Usage, Ministry of Justice

Author: N/A; Publisher: The Alan Turing Institute; Publication Year: N/A. The following collaboration is an ongoing United Kingdom project working with the Ministry of Justice to ensure ethical use of data and artificial intelligence in…
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Real-life Examples of Discriminating Artificial Intelligence

Amazon, Artificial Intelligence, Decision-Making, Ethical Violations

Author: Terence Shin; Publisher: Medium; Publication Year: 2020. The following article begins by giving a brief overview of how dangerous artificial intelligence (AI) models can be if they are not properly checked for biases, then…
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Credit Scoring and the Risk of Inclusion

Alternative Data Initiatives, Bias Mitigation, Credit Score, Racial Inequality

Author: Tamara K. Nopper; Publisher: Medium; Publication Year: 2022. The following article examines the possibilities of alternative data initiatives for mitigating racial inequality in the U.S. credit scoring system This discusses the for-profit credit evaluation…
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