Data Ethics Repository

Explore our collection of data ethics resources

Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.

Bias

Code of Ethics

Communities of Practice

Education

Diversity, Equity, Inclusion

Can We Protect AI from Our Biases?

Algorithms, Artificial Intelligence, Biased Algorithms, Biased Data, Criminal Justice System, Gender Bias, IBM, Tay, Training Data, Unbiased Algorithms, Unconscious Bias, Watson

Author: Robin Hauser; Publisher: TED; Publication Year: N/A. In the following talk, Robin Hauser talks about unconscious bias in artificial intelligence (AI) algorithms. As part of producing her new movie about unconscious bias, she became…
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Chris Olah on What the Hell is Going on Inside Neural Networks

Black Box Algorithms, Data Interpretability, Google, Neural Networks

Author: Robert Wiblin, Keiran Harris, Chris Olah; Publisher: 80,000 Hours; Publication Year: 2021. The following podcast episode features Chris Olah, a researcher at Google focused on data interpretability, specifically as it relates to neural networks…
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The Ethics of Smart Cities and Urban Science

Anticipatory Governance, Data-Driven Urbanism, Dataveillance, Epistemology, Geosurveillance, Smart Cities, Software-Enabled Technology, Urban Big Data, Urbanism

Author: Rob Kitchin; Publisher: The Royal Society; Publication Year: 2016. The following article talks about how software-enabled technologies and urban big data have become essential to the functioning of cities. Consequently, urban operational governance and…
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Ethical Ways to Collect Data Responsibly

Consent, Data Collection, Third-Party Data, Transparency

Author: Shabl; Publisher: Stop Having a Boring Life; Publication Year: 2020. The following article details 4 main strategies to collect data in an ethical manner without infringing on people’s privacy or consent. These include transparency…
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Preventing Harmful AI Bias With Fairness Through Awareness

AI Transparency, Algorithmic Accountability Act, Algorithms, Artificial Intelligence, Artificial Intelligence Act, European Union, Explainability, Fairness, Transparency

Author: Rik Chomko; Publisher: Forbes; Publication Year: 2022. The following article describes how, from an equity standpoint, artificial intelligence (AI) transparency is vital for preventing bias that has the potential to penalize protected classes or…
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Data Privacy Laws in 2022: What You Need to Know

Data Science, Privacy Laws

Author: Rick Buck; Publisher: Wirewheel; Publication Year: 2021. The following article describes how each and every year there are new privacy laws that may be put into place that we as users of exploring and…
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Critics Raise Alarm Over Big Tech’s Most Powerful Tools

Algorithms, Dark Patterns, Google, Reinforcement Learning

Author: Richard Water; Publisher: Financial Times; Publication Year: 2021. The following article discusses how big tech companies are using “Dark Patterns” in order to nudge their userbase into certain patterns of behavior. In a “race…
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The Ethical Questions That Haunt Facial-Recognition Research

Algorithms, China, Consent, Facial Recognition Systems, Surveillance

Author: Richard Van Noorden; Publisher: Nature; Publication Year: 2020. In the following article, science journalist Richard Van Noorden discusses how facial recognition technology is being used for malicious purposes. The Chinese government has abused facial…
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Data Experts as the Balancing Power of Big Data Ethics

Big Data, Ethical Use, Social Responsbility

Author: Richard Novak; Publisher: ProQuest; Publication Year: 2021. The following source discusses how although Big Data requires prioritization of social responsibility and adherence to data ethics, these areas tend to be understaffed. The 3 major…
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