Tag: Bias Mitigation
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Data Ethics & Mitigating Algorithmic Bias
Author: Vivek Katial; Publisher: Multitudes; Publication Year: N/A. The following article starts by introducing the profound effect that algorithms and, in particular, decisions from algorithms have on our life today. The author goes on to…
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Mitigating Gender Bias in Natural Language Processing: Literature Review
Artificial Intelligence, Bias Mitigation, Debiasing, Gender Bias, Natural Language Processing TechnologyAuthor: Tony Sun, Andrew Gaut, Shirlyn Tang, et al.; Publisher: Arxiv; Publication Year: N/A. The following article discusses how despite their success in modeling various applications, natural language processing (NLP) models propagate and may even…
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Ethical AI: Five Guiding Pillars
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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Algorithmic Bias, Financial Inclusion, and Gender
Bias Mitigation, Credit Score, Data Collection, Fairness, Gender Bias, Labeling Bias, Outcome Proxy Bias, Sampling BiasAuthor: Sonja Kelly, Mehrdad Mirpourian; Publisher: Women’s World Banking; Publication Year: 2021. The following report discussed where gender-based bias originates and how to mitigate such biases in the emerging digital credit space. The report discussed…
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Algorithmic Bias Detection and Mitigation: Best Practices and Policies to Reduce Consumer Harms
Author: Nicol Turner Lee, Paul Resnick, Genie Barton; Publisher: Brookings; Publication Year: 2019. The following piece describes how artificial intelligence (AI) is being used to manage greater aspects of our economy. There is risk that…
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10 Data Science Ethics Questions
Bias Mitigation, Data Accuracy, Data Collection, Data Representation, Data Usage, Legal Rights, Project ScopeAuthor: Jeff Saltz; Publisher: Data Science Process Alliance; Publication Year: 2022. The following article provides 10 questions for a data science team to incorporate ethics into their projects. These questions address various aspects of ethics…
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What Does it Mean to ‘Solve’ the Problem of Discrimination in Hiring? Social, Technical and Legal Perspectives from the UK on Automated Hiring Systems
Automated Hiring Systems, Bias Mitigation, Discrimination, Discriminatory Practices, Economic Inequality, Economic Justice, Hiring, RecruitmentAuthor: Javier Sánchez-Monedero, Lina Dencik, Lilian Edwards; Publisher: Conference on Fairness, Accountability, and Transparency; Publication Year: 2020. The following article describes how discriminatory practices in recruitment and hiring are a persistent problem that affects not…
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What Do We Do About the Biases in AI?
Algorithms, Amazon, Artificial Intelligence, Bias Mitigation, Explainability, Fairness, Human Bias, Racial Bias, TransparencyAuthor: James Manyika, Jake Silberg, Brittany Presten Publisher: Harvard Business Review Publication Year: 2019 Summary: The following article discusses how artificial intelligence (AI) can help identify and reduce the impact of human biases. But it…