Category: Frameworks

Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Debiasing, Gender Bias, Natural Language Processing Technology, Word Embeddings

Author: Hila Gonen, Yoav Goldberg; Publisher: Allen Institute for Artificial Intelligence; Publication Year: 2019. The following study talks about gender bias in word embeddings, an important component in Natural Language Processing. There have been debiasing…
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Bringing Principles of Ethics to AI and Drug Design

Artificial Intelligence, Chemical Compound Data, Drug Development, Historical Medical Data, Machine Learning, Medication Research, Predictions

Author: Helen Santoro; Publisher: Scope; Publication Year: 2022. The following article discusses how artificial intelligence (AI) has proven potent in analyzing historical medical data, chemical compound data, and using it to predict viable treatments. As…
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Privacy & Security Perspectives: Interoperability, Prospects for HIPAA Refresh, More

Perspective, Sensitive Data, Technology Development

Author: Bill Siwicki; Publisher: Healthcare IT News; Publication Year: 2020. The following article features a conversation highlighting the importance of keeping multiple perspectives in mind for any kind of technology development that requires sharing of…
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Data Security for Owners and Contractors: Protect Construction Investments From Catastrophic Loss

Construction, Data Privacy, Late Adopters, Material Safety

Author: Helen Melchiondo; Publisher: JDSupra; Publication Year: 2020. The following article discusses how in late adoption agencies, specifically construction, off the shelf cloud providers have been a boon to scalability and demand surge concerns. However,…
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Digital Epidemiology: The Ethics of Using Health Data in a Pandemic

Contract Tracing, Epidemiology, Machine Learning

Author: N/A Publisher: Health Europa Publication Year: 2020 Summary: The following article brings attention to ethical concerns present in our digital world and epidemiology. It discusses the ethics of contract tracing. There has to be…
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The Problem with “Biased Data”

Machine Learning, Mental Framework, Terminology & Language

Author: Harini Suresh; Publisher: Medium; Publication Year: 2019. In the following article, the author points out that language matters and that the right terminology forms a mental framework. The author also provides a framework for…
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Player Tracking Coming to the NHL? It’s Complicated

Data Privacy, National Hockey League, Rugby, Wearable Data Device

Author: Greg Wyshynski; Publisher: ESPN; Publication Year: 2018. In the following article, before diving into the ethical concerns of data usage in the NHL, the author turns to rugby. The kicker of a recent rugby…
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FAIR Principles

Accessibility, Fairness, Findability, GO FAIR, Implementation Networks, Interoperability, Reusability

Author: N/A; Publisher: GO FAIR; Publication Year: 2016. The following article focusses on GO FAIR, a stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles. They use Implementation Networks to define and…
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Ethics of the Data Science Practice

Artificial Intelligence, Game of Thrones, Training Data

Author: Ghislain Landry Tsafack Chetsa; Publisher: Towards Sustainable Artificial Intelligence; Publication Year: 2021. The following article makes a Game of Thrones reference to connect the fictional character’s use of power for their advantage to the…
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