Author: lnbressa

Theories of AI Liability: It’s Still About the Human Element

Artificial Intelligence, Responsibility

Author: William A. Tanenbaum, Kiyong Song, Linda A. Malek; Publisher: Reuters; Publication Year: 2022. The following article outlines the 2 basic theories/ideas regarding who is responsible or liable for the actions taken and decisions made…
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Principled Artificial Intelligence

Anonymization, Benefit, Communication, Data Security, Fairness, Informed Consent, Openness, Prominence, Reliability, Transparency

Author: Jessica Fjeld, Adam Nagy; Publisher: Berkman Klein Center; Publication Year: 2020. The following paper describes and explains 9 principles of ethical data practices: Informed consent of data subjects, security of data, anonymization, transparency, diversity,…
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Enterprise Data Ethics Framework

Data Collection, Data Maintenance, Data Usage, Transparency

Author: N/A; Publisher: The University of Queensland; Publication Year: N/A. The following article is written for the University of Queensland in Australia, but the ethical principles outlined in the document are best practice for anyone…
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The Apple Card Didn’t ‘See’ Gender—and That’s the Problem

Apple, Bias Proxies, Gender Bias, Proxy Data, Proxy Discrimination, Racial Bias

Author: Will Knight; Publisher: Wired; Publication Year: 2019. The following article touches on the idea of bias “proxies,” like address information as a proxy for race. It talks about how the Apple Card was offering…
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Privacy Wars Fueled by the GDPR

Ad Personalization, CNIL, Consent, GDPR, General Data Protection Regulation, Google, Transparency

Author: Will Horvath; Publisher: Data Science Ethics; Publication Year: 2019. The following article discusses how with countries fighting against the growing threat of privacy invasion (and many losing), Europe implemented in 2018 the General Data…
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Bias Isn’t the Only Problem with Credit Scores—and No, AI Can’t Help

Automated Decision-Making, Biased Algorithms, Fair Algorithm

Author: Will Douglas Heaven; Publisher: MIT Technology Review; Publication Year: 2021. The following article discusses how it is a known fact that biased algorithms affect automatic decision-making processes. To fix this problem, many researchers and…
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The FAIR Guiding Principles for Scientific Data Management and Stewardship

Accessibility, Data Handling, Findability, Interoperability, Reproducibility, Scientific Literature

Author: Mark D. Wilkinson et al.; Publisher: Nature; Publication Year: 2016. The following article focuses on the need to improve data handling in order to ensure the reproducibility of results published in scientific literature. It…
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The Role and Limits of Principles in AI Ethics: Toward a Focus on Tensions

Accuracy, Artificial Intelligence, Bioethics, Convenience, Dignity, Fair Treatment, Personalization, Service, Solidarity

Author: Jess Whittlestone et al.; Publisher: Conference on AI, Ethics, and Society; Publication Year: 2019. The following research article argues that there are tensions between common principles guiding ethical decision-making about artificial intelligence (AI). They…
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Ethical Dilemmas: How Scandals Damage Companies

Consumer Relationships, Data Privacy, Equifax, Ethical Standards, Values

Author: N/A; Publisher: Western Governors University; Publication Year: 2021. The following article discusses how companies with higher ethical standards have been shown to perform better than companies who fail to consider the ethics of their…
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