Category: Education & Training

We Need to Close the Gender Data Gap By Including Women in Our Algorithms

Algorithms, Gender, Gender Bias, Gender Gap

Author: Caroline Criado Perez; Publisher: Time Magazine; Publication Year: 2020. The following article describes the way that so many aspects of our society is designed with men in mind instead of women. Examples of this…
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AI Bias Could Put Women’s Lives At Risk – A Challenge For Regulators

Artificial Intelligence, Data Collection, Discrimination, European Union, Gender, Gender Bias, Gender Gap

Author: Carmen Neithammer; Publisher: Forbes; Publication Year: 2020. The following article touches on the bias that is introduced into algorithms by using data sets that are comprised mainly of information about the male population. A…
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The Alignment Problem: Machine Learning and Human Values

Black Box Algorithms, Google, Hiring Software, Protected Classes, vector computation, word2vec

Author: Brian Christian; Publisher: W. W. Norton & Company; Publication Year: 2020. The following book focuses on word2vec, an algorithm from 2013 that allows for vector computation of words. That is, word2vec allows for computations…
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Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics

Algorithms, Training Data

Author: Bo Cowgill, Fabrizio Dell’Acqua, Samuel Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau; Publisher: Navigating the Broader Impacts of AI Research Workshop at the 34th Conference on Neural Information Processing Systems; Publication Year: 2020. The…
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Integrating Data Science Ethics Into an Undergraduate Major: A Case Study

Data Science Program, National Academies, Smith College

Author: Benjamin S. Baumer, Randi L. Garcia, Albert Y. Kim, Katherine M. Kinnaird, Miles Q. Ott; Publisher: Journal of Statistics and Data Science Education; Publication Year: 2022. The following case study discusses how the National…
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Time Series for Good

Forecasting, Forecasting for Social Good, Public Sector, Teaching, Time Series Analysis

Author: Bahman Rostami-Tabar, Kyle Polich; Publisher: Data Skeptic; Publication Year: 2021. The following podcast episode from the “Data Skeptic” podcast, hosted by Kyle Polich, interviews Bahman Rostami-Tabar about his work with the organization “Forecasting for…
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Bad, biased, and unethical uses of AI

Admissions, Algorithms, Algorithms of Oppression, Amazon, Artificial Intelligence, Data Collection, Discrimination, Gender Bias, Hiring Software, LinkedIn, Medical School, Redlining, Transparency, UCLA

Author: Anthony Macciola; Publisher: The Enterprisers Project; Publication Year: 2019. The following article provides 4 examples of bad, biased, or unethical uses of AI, as well as guidance for Chief Information Officers (CIOs) on how…
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The Big Data Agenda

Big Data, Biomedical Studies, Data Collection

Author: Annika Richterich; Publisher: University of Westminster Press, Google Books; Publication Year: 2018. The following article highlights that gathering and analyzing big data raises many ethical issues. She gives a lot of background information on…
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Conducting Research with Tribal Communities: Sovereignty, Ethics, and Data-Sharing Issues

Data Collection, Data Sharing, Reporting, Research Ethics, Scientific Capacity, Sovereignty

Author: Anna Harding, Barbara Harper, Dave Stone, Catherine O’Neill, Patricia Berger, Stuart Harris, Jamie Donatuto Publisher: Environmental Health Perspectives Publication Year: 2012 Summary: The following paper reviews sovereignty, research ethics, and data-sharing considerations when approaching…
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