Author: lnbressa

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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Responsible Web Scraping: Gathering Data Ethically and Legally

Application Programming Interfaces, Data Collection, Web Scraping

Author: Denis Kryukov; Publisher: Soshace; Publication Year: 2019. The following resource talks about the ethical ways to scrape the web. Although data on the web is public, obtaining it does not always entail completely ethical…
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Five Moves for a More Holistic Approach to Ethics in the Technology Industry

Ethical Practices, Leadership, Talent, Training

Author: N/A; Publisher: Deloitte Analysis; Publication Year: N/A. The following resource outlines a framework to providing a more holistic approach to ethics within the technology industry. It states the 5 necessary ways to accomplish and…
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Transparency and Responsibility in Artificial Intelligence

Artificial Intelligence, Responsible Artificial Intelligence, Transparency

Author: N/A; Publisher: Deloitte; Publication Year: 2019. The following publication emphasizes the need for artificial intelligence (AI) that is transparent and responsible in that it has been thoroughly tested, is explainable, and has undergone many…
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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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How Our Data Encodes Systematic Racism

Artificial Intelligence, Data Collection, Data Usage, Machine Learning, Policing, Racial Bias

Author: Deborah Raji Publisher: MIT Technology Review Publication Year: 2020 Summary: The following article describes how data nearly always lies, especially within policing systems. White supremacy often appears more violently in the news as gunshots…
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Data Scientists Have Access to Your Sensitive Data. That’s Driving More Schools to Teach Ethics

Bias Elimination, Ethical Practice, Incentive

Author: Dawn Rzeznikeicz; Publisher: Fortune Education; Publication Year: 2022. The following article asks whether data scientists/computer scientists have any obligation to practice data ethics and do they place technological advancements over ethical considerations. Those questions…
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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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