Category: Notable People

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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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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Experts Doubt Ethical AI Design Will Be Broadly Adopted as the Norm Within the Next Decade

Artificial Intelligence, Elon University, Ethical Principles, Profit-Seeking, Social Control

Author: Lee Rainie, Janna Anderson, Emily A. Vogels; Publisher: Pew Research Center; Publication Year: 2021. The following article opens up by describing the pervasive and ever-expanding role artificial intelligence (AI) has taken up in our…
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When AI is Watching Patient Care: Ethics to Consider

Artificial Intelligence, Patient Privacy, Surveillance, Tracking

Author: Laurie Flynn; Publisher: Scope, Published by Stanford Medicine; Publication Year: 2020. The following article discusses how hospitals are implementing artificial intelligence (AI) techniques to monitor patient and staff activity. It is combined with cameras…
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Data Science Ethics – What Could Go Wrong and How to Avoid It

Accessible, Consent, Consumer Data, Consumer Privacy, Discrimination, Fairness, Fairness Accountability Transparency, Findable, Interoperable, Reusable, Transparency

Author: Kylie Ying; Publisher: freeCodeCamp; Publication Year: 2021. The following article discusses how the notion of informed consent quickly fades in a business setting, where it may be in fine print or even without our…
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DynamoFL Aims to Bring Privacy-Preserving AI to More Industries

DynamoFL, Federated Learning, Machine Learning, Malicious Actors, Sensitive Data, Training Data

Author: Kyle Wiggers; Publisher: TechCrunch+; Publication Year: 2022. The following article covers how federated learning allows machine learning (ML) models to be trained on sensitive data without having it housed on multiple different servers and/or…
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China Deploys Its First Robot Traffic Police

Facial Recognition Systems, Road Patrol Robots, Security Risks

Author: Kristin Houser; Publisher: Futurism; Publication Year: 2019. The following article is about 3 “road patrol robots” that were recently released in China. These robots will be able to identify drivers using facial recognition, take…
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What Legal Teams and Businesses Should Know About Ethical Data Mining and Use

Algorithms, Data Ownership, Data Privacy, Data Usage, Ethical Data Usage, Intention, Transparency

Author: Kristel Staci; Publisher: The Stamp; Publication Year: 2022. The following article features a discussion of some considerations that businesses need to take into account for data usage based on the perspective of a legal…
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NIH Injects $130M to Provide Quality Tools, Data for AI in Medicine

AI-Ready Datasets, Artificial Intelligence, Behavioral Research, Biomedical Research, National Institutes of Health, NIH, Systemic Inequity

Author: Kirsten Errick; Publisher: Nextgov; Publication Year: 2022. The following article introduces a $130 million funding effort to integrate artificial intelligence (AI) solutions into National Institutes of Health (NIH) biomedical and behavioral research. This is…
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