Category: Notable People

AI Facial Recognition Systems Work the Worst for Black Women

Algorithmic Injustice, Artificial Intelligence, Criminal Justice System, Facial Recognition Systems, Gender Bias, Racial Bias, Training Data

Author: Dianna Mazzone; Publisher: Allure; Publication Year: 2022. The following article describes how Dr. Joy Buolamwini, executive director of The Algorithmic Justice League, has been working to fight against racial and gender bias in facial…
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Ethics of Collecting and Using Healthcare Data

Consent, Data Analysis, Data Collection, Ethical Data Usage, Institutional Review Boards, Patient Information, Review Committees

Author: Derick Wade; Publisher: National Library of Medicine; Publication Year: 2007. The following article discusses how ethical review committees are helpful, but the ultimate responsibility of ethical data use in healthcare falls to those organizations…
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The Need for Ethical Data Models for Comprehensive Data Sharing

Depersonalization, Health Data, Health Insurance Portability and Accountability Act of 1996, HIPPA, Patient Privacy, Population Medicine

Author: Derek Baird; Publisher: MedCity News; Publication Year: 2021. The following article describes how the U.S. has lagged behind their developed nation counterparts in regards to patient and consumer privacy protections. The 30 year old…
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What is “Data Ethics”, and Why is it Important

Algorithms, Artificial Intelligence, Black Box Algorithms, Data Manipulation, Privacy Violations

Author: Dennis Hirsch; Publisher: Centre for Information Policy Leadership; Publication Year: 2021. The following article discuses what exactly is data ethics. Dennis Hirsch, a lawyer from Ohio State, asks this question in a study conducted…
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Aspects of Data Ethics in a Changing World: Where Are We Now?

Algorithms, Cheap Storage Capacity, Consent, Data Availability, Data Collection, Data Confidentiality, Data Ownership, Personal Data, Purpose of Use

Author: David J. Hand; Publisher: Mary Ann Liebert, Inc.; Publication Year: 2018. The following article discusses how data availability, cheap storage capacity, and powerful tools for extracting information from data have the potential to significantly…
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How Google, Mayo Clinic and Kaiser Permanente Tackle AI Bias and Thorny Data Privacy Problems

Algorithms, Artificial Intelligence, Deidentifying Data, Health Data, Systematic Bias

Author: Dave Muoio; Publisher: Fierce Healthcare; Publication Year: 2022. The following article discusses health data and the problems that this data has when related to artificial intelligence (AI) and privacy. As systemic biases are built…
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Gaining a Competitive Advantage Through Data Ethics

Algorithms, Artificial Intelligence, Data Ownership, Data Protection, Machine Learning, Transparency

Author: Danielle Clifford; Publisher: Pinsent Masons; Publication Year: 2021. The following article discusses how the data ethics challenge spans multiple vectors. One of the most concerning issues centers around the artificial intelligence (AI) and machine…
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Moving Forward On Federal Data Privacy Legislation: Why Society Should Be Full Steam Ahead

Accountability, Apple, Federal Trade Commission, GDPR, General Data Protection Regulation, Roe v. Wade

Author: Daniel Barber; Publisher: Forbes; Publication Year: 2022. The following article considers: Why is the United States one of the only countries without a comprehensive data privacy law? Congressional gridlock and the initiative of smaller…
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The Hidden Ethics of Our Personal Data

Algorithms, Data Collection, Data Trail

Author: Danel Goddemeyer, Dominikus Baur; Publisher: TEDx; Publication Year: N/A. The following TED Talk features a collaborative audience demonstration on collecting data. It makes connections to how easy is it to leave a data trail…
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