Author: lnbressa

Estimating the Success of Re-Identifications in Incomplete Datasets Using Generative Models

Data Sharing, DeepMind, Deidentifying Data

Author: Luc Rocher, Julien Hendrickx, Yves-Alexandre de Montjoye; Publisher: Nature; Publication Year: 2019. In the following article, motivated by the UK National Health Service’s decision to share de-identified data with DeepMind, the authors set out…
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“Ethics When You Least Expect It”: A Modular Approach

CODATARDA Schools for Research Data Science, Curriculum Development, Data Ethics Teaching, Data Science Citizenship

Author: Louise Bezuidenhout, Robert Quick, Hugh Shanahan; Publisher: Science and Engineering Ethics; Publication Year: 2020. The following article discusses how institutions and organizations around the world are developing research data science curricula to teach the…
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What Does it Mean to Embed Ethics in Data Science? An Integrative Approach Based on Microethics and Virtues

Data Science, Microethics, Moral Virtues, Training Programs

Author: Louise Bezuidenhout, Emanuele Ratti; Publisher: AI & Society; Publication Year: 2021. The following article addresses the rise of ethical concerns in data science and the issues of applying ethical approaches in day-to-day activities. Bezuidenhout…
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Data Ethics for the Digital Education Age

Advertising, Data Misuse, Data Tracking, Digital Learning, Engagement Metrics, Student Privacy, Third-Party Software

Author: Lou Blouin; Publisher: University of Michigan-Dearborn News; Publication Year: 2022. The following article describes the ethical issues inherent in data-driven education, particularly in the context of digital learning. Blouin notes that student privacy is…
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HireVue Assessments and Preventing Algorithmic Bias

Algorithms, Discrimination, HireVue, Human Bias, Risks, Training Data

Author: Loren Larson; Publisher: HireVue; Publication Year: 2018. The following article discusses how HireVue is committed to good science that creates a level playing field for all candidates. Without deliberately working to reduce bias that…
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The Harms of Targeted Weight Loss Ads

Digital Footprint, Health Issues, Targeted Advertising, Weight Loss

Author: Liza Gak, Kyle Polich; Publisher: Data Skeptic; Publication Year: 2022. The following podcast episode features Kyle who interviews Liza about her work doing interviews centered on people’s experience with weight loss advertisements. Ethical topics…
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AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data

Anti-Money Laundering, Artificial Intelligence, Data Control, Data Misuse, Know-Your-Customer Regulatory Checks, Payment Fraud, Underwriting

Author: Lisa Shields; Publisher: Inside BIG DATA; Publication Year: 2020. The following article talks about how over the past few years, the financial services industry has made huge strides in adopting new technologies like artificial…
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Ethical Issues Surrounding Research of AI in Health Care

Accountability, Algorithm Training, Algorithms, Artificial Intelligence, Autonomy, Data and Safety Monitoring Board, Equity, Responsibility, Transparency

Author: Lisa Murtha, Pralika Jain, Kiyong Song; Publisher: Reuters; Publication Year: 2022. The following article discusses how artificial intelligence (AI) models can be flawed considering humans are the ones behind making these models. The authors…
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Bias in Machine Learning Examples: Policing, Banking, COVID-19

COVID-19, Data Confirmation, Data Selection, Human Bias, Machine Learning, Missing Data, Policing

Author: Lisa Morgan; Publisher: Tech Target; Publication Year: 2020. The following article discusses how human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes…
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