Author: lnbressa
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AI is Sending People to Jail — and Getting it Wrong
Crime Information, Facial Recognition Systems, Law Enforcement, Machine Learning, Policing, Predictive Modeling, Underrepresented IndividualsAuthor: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following resource is a must-read for anyone who wants to know how unethical and plain incorrect use of machine learning can severely impact underrepresented…
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Facebook’s Ad-Serving Algorithm Discriminates by Gender and Race
Author: Karen Hao; Publisher: MIT Technology Review; Publication Year: 2019. The following article describes how people may have seen personalized Facebook advertisements on their feed. As it turns out, that algorithm, based on machine learning,…
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Data Leakage Prevention: E-Mail Protection via Gateway
Author: Kamaljeet Kaur, Ishu Gupta, Ashutosh Kumar Singh; Publisher: Journal of Physics: Conference Series; Publication Year: 2017. The following article discusses how protecting intellectual property (IP) is a major concern for today’s organizations, because a…
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Ethics and Empathy in Using Imputation to Disaggregate Data for Racial Equity
Author: K. Steven Brown, LesLeigh Ford, Shena Ashley; Publisher: Racial Equity Analytics Lab; Publication Year: 2021. The following guide by the Urban Institute is meant to guide the practice of data disaggregation when using imputation,…
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Data privacy concerns make the post-Roe era uncharted territory
Data Collection, Data Usage, Law Enforcement, Personal Data, Private Data, Roe v. Wade, SurveillanceAuthor: Juliana Kim; Publisher: National Public Radio; Publication Year: 2022. The following article discusses the role of data in the post-Roe vs. Wade legal framework. Several states have limited or banned abortion since the Supreme…
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Effectiveness, Efficiency, and Ethics of Marketing Analytics
Author: Julia Hopkins; Publisher: University of New Hampshire Scholars’ Repository ; Publication Year: 2016. The following thesis study talks about the effectiveness, efficiency, and ethics of marketing analytics. Also, the author says how targeted advertising…
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Top 9 ethical issues in artificial intelligence
Artificial Intelligence, Artificial Stupidity, Evil Genies, Humanity, Inequality, Racist Robots, Robot Rights, Singularity, UnemploymentAuthor: Julia Bossmann; Publisher: World Economic Forum; Publication Year: 2016. The following article discusses 9 ethical issues with the use of artificial intelligence (AI) and the corresponding questions that should be asked: 1). Unemployment: What…
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Industry Best Practices for AI Governance
Author: Joy Looney; Publisher: Data Iku; Publication Year: 2022. The following article lays out a framework for the ethical development of machine learning models. This framework contains concrete examples of actions that data scientists and…