Category: Education & Training

What is “Data Ethics”, and Why is it Important

Algorithms, Artificial Intelligence, Black Box Algorithms, Data Manipulation, Privacy Violations

Author: Dennis Hirsch; Publisher: Centre for Information Policy Leadership; Publication Year: 2021. The following article discuses what exactly is data ethics. Dennis Hirsch, a lawyer from Ohio State, asks this question in a study conducted…
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The Address Book: What Street Addresses Reveal About Identity, Race, Wealth, and Power

Artificial Intelligence, Biased AI, Machine Learning, Personal Information

Author: Dierdre Mask; Publisher: St. Martin’s Press; Publication Year: 2020. The following book does not talk about data ethics per say, it does focus on the ethics on how locations are identified. Having a street…
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Playing with AI Fairness: Google’s New Machine Learning Diagnostic Tool Lets Users Try on Five Different Types of Fairness

Demographic Parity, Equal Accuracy, Equal Opportunity, Fairness, Google, Group Thresholds, Group Unaware, Machine Learning

Author: David Weinberger; Publisher: What-If Tool; Publication Year: N/A. The following article discusses how Google created a “What-If” visualization tool to test machine learning systems and demonstrate how they perform in regards to different definitions…
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Why Data Ethics Leadership Needs to Become the New Normal in Finance

Artificial Intelligence, Data Automation, Leadership

Author: David Sweenor; Publisher: Global Banking and Finance Review; Publication Year: N/A. The following article discusses how the influx of data in today’s digital world quickly passed the infrastructure necessary to monitor data automation. For…
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The Impact of AI on Society

Algorithms, Fairness, Human Values, Neuro-Linguistic Programming, Representation, Transparency

Author: N/A; Publisher: Data Ethics 4 All; Publication Year: N/A. The following panel discusses ethical artificial intelligence (AI) practices, and how the data science community needs to balance human values with the values of an…
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Incorporate Inclusivity

Gender, Gender Gap, Racial Gaps, StrengthsFinder

Author: Data Science Ethics Podcast Publisher: Spotify Publication Year: 2020 Summary: The following podcast episode discusses how gender and racial gaps exist in the field of data science as it tends to be dominated by…
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Data Brew Season 2, Episode 2: Data Ethics

Data Disparity, Fairness, Gender, Social Inequality, Transparency, Unfair Representation

Author: Databricks; Publisher: Spotify; Publication Year: 2021. The following podcast episode discusses how in the realm of business and marketing, the regulation of fairness and data ethics are essential elements to consider when building a…
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AI Can Vanquish Bias: Algorithms We Can’t Understand Can Make Insurance Fairer

Big Data, Insurance, Uniform Loss Ratio

Author: Daniel Schreiber; Publisher: Lemonade; Publication Year: N/A. The following article discusses how the availability of big data and improvement in computing power now allows insurance companies to price more fairly in terms of premium…
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How Does Queerness Fit Into the US Census

Data Collection, LGBTQIA+, U.S. Census

Author: Dan Bouk; Publisher: Wired; Publication Year: 2022. The following article provides what could be considered a history lesson about the U.S. Census. It touches on topics related to accurate collection of data (including measures…
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