Tag: Fairness
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Can You Hear the Will of the People in the Vote? Assessing Fairness in Redistricting via Monte Carlo Sampling
Author: Jonathan Mattingly; Publisher: Society for Industrial and Applied Mathematics; Publication Year: 2021. The following video is the author presenting his research on how local, state, and national elections depend on the underlying maps that…
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Inherent Trade-Offs in the Fair Determination of Risk Scores
Author: Jon Kleinberg, Sendhil Mullainathan, Manish Raghavan; Publisher: N/A; Publication Year: 2016. The following publication discusses issues around risk scoring with credit scores and attempts to define “fairness” in this context. The main idea of…
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More Than One in Three Firms Burned by AI Bias
Ageism, AI Bias, Artificial Intelligence, Facial Recognition Systems, Fairness, Gender Bias, Government Regulation, Racial BiasAuthor: 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…
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What You Need to Know About AI Ethics
Accountability, Artificial Intelligence, Data Handling, Design Choices, Explainability, Fairness, Human Oversight, Safety, Security, System Capabilities, TransparencyAuthor: John Edwards; Publisher: Information Week; Publication Year: 2022. The following article discusses how artificial Intelligence (AI) is becoming more popular as tech continues to grow, but with that, the number and intensity of concerns…
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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…
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fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification Models
Author: Jakub Wisniewski, Przemyslaw Biecek; Publisher: The R Journal; Publication Year: 2022. The following article discusses how as more sophisticated machine learning methods become more ubiquitous, a culture of classifying between “explainable” and “unexplainable” models…
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Tackling Bias in Artificial Intelligence
Author: Jake Silberg, James Manyika; Publisher: McKinsey & Company; Publication Year: 2019. The following article discusses 2 opportunities that artificial intelligence (AI) presents to today’s society: the opportunity to reduce the effect of human bias,…
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AI and Data Ethics: 5 Principles to Consider
Author: Jack Berkowitz; Publisher: ADP; Publication Year: N/A. The following article aims to define a framework for data ethics within human resources. Berkowitz lists 5 common principles of data ethics that can help answer the…
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Why Data Scientists Should Make a Commitment to Diversity
Author: N/A; Publisher: Information Week; Publication Year: 2018. The following article emphasizes the power that data scientists hold when addressing ethics, as many big companies employ them to create impactful algorithms and recommendations. Specifically, data…