Author: lnbressa

Data Science, Ethics, and the ‘Massive Scumbags’ Problem

Dilution of Responsibility, Ethical Smokescreens, Inevitability, Progress Thesis, Techno-Logic, Value Neutrality

Author: Stilgherrian; Publisher: ZDNet; Publication Year: 2019. The following article covers 5 ethical smokescreens working against the consideration of ethical behavior: 1). Techno-logic: we use technology as a way to “reduce the world to something…
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Financial Services Firms Turn to Data Ethics to Manage Digital Risks

Automation, Cybersecurity, Data Governance, Fairness, Risks

Author: Steven Tiell; Publisher: Accenture; Publication Year: 2021. The following article talks about how In 2021, data ethics will be the tool financial services firms choose to manage digital risks in automation and cybersecurity. Practicing…
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AI Ethics vs Data Ethics

Artificial Intelligence, Digital Ethics, Ethical Data, Machine Learning

Author: Steven Tiell; Publisher: Ethics of Data; Publication Year: 2020. The following visualization focuses on how a lot of terms surrounding the ethical considerations of data seem interchangeable, yet educating ourselves on what really constitutes…
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Teaching Ethics and AI for Ethics

Artificial Intelligence, Automation, Curriculum, Decision-Making, Financial Data

Author: Steven M. Mintz; Publisher: Strategic Finance; Publication Year: 2021. The following article discusses how data ethics is vital for young professionals to learn in a new automated, decision-making world in finance. For this reason,…
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How the Responsible Use of AI can Create Safer Online Spaces

Artificial Intelligence, Discrimination, Human Bias, Inbuilt Prejudices, Training Data

Author: Steve Durbin; Publisher: World Economic Forum; Publication Year: 2022. The following article discusses how although artificial intelligence (AI) promises to improve and streamline business operations and everyday life, there are proportional increasing concerns about…
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Amazon Scholars Michael Kearns and Aaron Roth Discuss the Ethics of Machine Learning

Bias Elimination, COVID-19 Contact Tracing, Machine Learning

Author: Stephen Zorio; Publisher: Amazon: Science; Publication Year: 2020. In the following article, panelists discuss the tradeoff between accuracy and privacy when dealing with sensitive situations and machine learning (ML) models. They provide a relevant…
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Minority Report

Data Collection, Predictive Policing, Transparency

Author: Stephen Spielberg; Publisher: N/A; Publication Year: 2002. The following film starring Tom Cruise concerns a future where people are arrested by a “Pre-Crime” unit before a crime is committed. There are several biases involved…
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AI’s Impact on Video Game Outcomes Frustrates Gamers

Artificial Intelligence, Electronic Arts

Author: Stephen Sharbaugh; Publisher: Sports Litigation Alert; Publication Year: 2021. The following article discusses how as artificial intelligence (AI) continues to integrate itself into the public more through different adoption methods, scrutiny is inevitable and…
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The Ethical Data Dilemma: Why Ethics Will Separate Data Privacy Leaders From Followers

Big Data, Consumer Data, Data Collection, Data Privacy, Data Usage, Personal Data

Author: Stephen Ritter; Publisher: Forbes; Publication Year: 2020. The following article talks about the current period in 2020, when enterprises around the world have unprecedented, nearly unfiltered access to consumers’ personal data, businesses are facing…
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