Category: 2022

Rethinking when and how to use race appropriately in care delivery

Data Collection, Data Granularity, Data Standardization, Health Data

Author: Jay Bhatt, Heather Nelson, David Veroff, Christine Chang, Jessica Overman; Publisher: Deloitte. Insights; Publication Year: 2022. The following article discusses how part of proper healthcare is the collection of data regarding an individuals health.…
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The Ethics of Health and Ethnic Identity Through an Asian American Lens

Asian Communities, Individualization, Racial Disparities

Author: Jasmine Jaing; Publisher: Markkula Center for Applied Ethics; Publication Year: 2022. The following article emphasizes the importance of not grouping Asian communities into one monolith. Especially in the health care field, Asian communities tend…
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Ethical Considerations in Social Media Analytics in the Context of Migration: Lessons Learned from a Horizon 2020 Project

Consent, Migration, Social Media, Vulnerable Populations

Author: Jamie Mahoney; Publisher: SAGE Journals; Publication Year: 2022. The following article discusses how online social platforms are used all over the world, which makes them an appealing option for investigating various social phenomena like…
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Getty Images Bans AI-Generated Content Over Fears of Legal Challenges

AI-Generated Images, Artificial Intelligence, Data Privacy, Data Usage, Getty Images, Training Data

Author: James Vincent; Publisher: The Verge; Publication Year: 2022. The following article discusses how Getty Images has banned artificial intelligence (AI)-generated images from its website, citing concerns over the legality of such images. The company…
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Amazon Shows off Alexa Feature that Mimics the Voices of Your Dead Relatives

Alexa, Amazon, Deepfake

Author: James Vincent; Publisher: The Verge; Publication Year: 2022. The following article discusses how Amazon has developed a feature where Alexa can mimic the voice of a dead relative. While the feature has not been…
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Artificial Intelligence Ethics and Bias

Artificial Intelligence, Data Collection, Data Usage, Socioeconomics

Author: James M. Connolly; Publisher: Information Week; Publication Year: 2022. The following article is a great, comprehensive description of artificial intelligence (AI) ethics and bias with a lot of supporting articles linked throughout. It begins…
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Ethical AI Development: Evidence from AI Startups

Artificial Intelligence, Decision-Making, Startups

Author: James Bessen, Stephen Michael Impink, Robert Seamans; Publisher: The Center on Regulation and Markets at Brookings; Publication Year: 2022. The following paper discusses an academic approach to researching and quantifying artificial intelligence ethic progress…
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fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification Models

Black Box Algorithms, Explainable Models, Fairness, Machine Learning, Unexplainable Models

Author: Jakub Wisniewski, Przemyslaw Biecek; Publisher: The R Journal; Publication Year: 2022. The following article discusses how as more sophisticated machine learning methods become more ubiquitous, a culture of classifying between “explainable” and “unexplainable” models…
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Why You Should Have an AI & Ethics Board

Accountability, Algorithms, Clarity, Consumer Data, Data Governance, Data Interpretation, Ethical Use, Privacy by Design, Transparency

Author: Jack Berkowitz; Publisher: Information Week; Publication Year: 2022. The following article discusses how before using consumer data, technology companies need to evaluate if they need to use the data. Companies and organizations need to…
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