Author: lnbressa

How Flawed Data Aggravates Inequality in Credit

Artificial Intelligence, Credit Score, Credit Worthiness, Economic Bias, Racial Bias

Author: Edmund L. Andrews; Publisher: Stanford University; Publication Year: 2021. The following article discusses how artificial intelligence (AI) models used to determine credit worthiness for lending are less accurate for lower-income and minority borrowers, in…
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Ethical Challenges Posed by Big Data

Autonomy, Big Data, Consent, Data Collection, Equity, Privacy Protection, Training Data

Author: Edmund G. Howe, Falicia Elenberg; Publisher: Innovations in Clinical Neuroscience; Publication Year: 2020. The following paper discusses how Big Data is becoming a larger field within the world of data science as more and…
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The Ethics of the AI Song Contest

Artificial Intelligence, Credit and Attribution, Music

Author: Ed Newton-Rex, Hendrik Vincent Koops; Publisher: Medium; Publication Year: 2020. The following article discusses the ethical considerations behind using artificial intelligence (AI) to help create music. The author served as a judge for a…
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Can the Film Industry Be Trusted with AI Technology?

Anthony Bourdain, Artificial Intelligence, Deepfake, Misinformation, Voice Recreation

Author: Ed Lamb; Publisher: The New Statesman; Publication Year: 2021. The following article addresses the recent documentary about chef and TV personality Anthony Bourdain, where artificial intelligence (AI) was used to recreate his voice in…
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What Scientists Have Learnt from COVID Lockdowns

Cost-Benefit Analysis, COVID-19, Lockdown Impact

Author: Dyani Lewis; Publisher: Nature; Publication Year: 2022. The following article discusses how data can be used to compare countries’ performances in the COVID-19 lockdown. There was a controversial article that boldly claimed that lockdowns…
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Ethics, Data and Insurance: 4 Developments Worth Watching

Algorithms, Biased Data, Customer Profiling, Training Data

Author: Duncan Minty; Publisher: Scandinavian Insurance Quarterly (SIQ); Publication Year: 2017. The following article discusses how the insurance industry has long been using historical data to underwrite, price, and manage risks. The advanced algorithms that…
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Healthcare Researchers Must Be Wary of Misusing AI

Algorithms, Clinical Research, Decision-Making, Machine Learning

Author: Duke-NUS Medical School; Publisher: Science Daily; Publication Year: 2022. The following article advises that strong care needs to be taken not to misuse or overuse machine learning in healthcare research. An international team of…
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Data Science Ethics Checklist

Checklist, Data Science, Data Storage, Model Deployment

Author: N/A; Publisher: Driven Data; Publication Year: N/A. The following resource is Deon which is a command line tool that generates an ethics checklist to help decide if your project is an ethical data science…
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Why Deep-Learning AIs are so Easy to Fool

Artificial Intelligence, Deep Learning, Deep Neural Networks

Author: Douglas Heaven; Publisher: Nature; Publication Year: 2019. The following article discusses how deep learning artificial intelligence (AI) models, specifical deep neural networks, can be extremely brittle when presented with new cases. There is a…
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