Category: Diversity, Equity & Inclusion
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Erasing Bias in Emerging Technologies – 3 Considerations
Author: Ivor Horn, Kulleni Gebreyes; Publisher: World Economic Forum; Publication Year: 2022. In the following article, 2 healthcare industry professionals walk through 3 considerations all providers should make. The first big pitfall most providers fall…
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Invisible Women: Exposing Data Bias in a World Designed for Men – a Review
Author: Karen Boyle; Publisher: The Conversation; Publication Year: 2019. The following article reviews the book “Invisible Women, Exposing Data Bias in a World Designed for Men” by Caroline Criado Perez. The book reveals some truths…
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INFORMS Ethics Guidelines
Author: N/A; Publisher: INFORMS; Publication Year: N/A. The following resource provides a set of ethical guidelines for INFORMS members in reference to society, their organizations, and the profession as a whole. They recognize that data…
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Data Ethics: What It Is and Why It’s Important
Author: impacX team; Publisher: impacX; Publication Year: N/A. The following article describes how data ethics is an extremely important aspect of how a company should approach its collection and use of data. However, as data…
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The Right to Privacy in the Digital Age: Report by the UN High Commissioner for Human Rights
Artificial Intelligence, Hiring, Human Rights, Law Enforcement, Online Information Management, Public Benefit, United NationsAuthor: N/A; Publisher: United Nations Human Rights Council; Publication Year: 2021. The following report from the United Nations Human Rights Commissioner identifies Artificial Intelligence (AI) and its widespread use as a threat to human rights,…
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Inside Amazon’s Clickworker Platform: How Half a Million People are Being Paid Pennies to Train AI
Author: Hope Reese; Publisher: Tech Republic; Publication Year: 2016. The following article discusses how Amazon’s Mechanical Turk (AMT) is an online platform that allows people to perform small tasks for pay. This group, as of…
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Bringing Principles of Ethics to AI and Drug Design
Artificial Intelligence, Chemical Compound Data, Drug Development, Historical Medical Data, Machine Learning, Medication Research, PredictionsAuthor: Helen Santoro; Publisher: Scope; Publication Year: 2022. The following article discusses how artificial intelligence (AI) has proven potent in analyzing historical medical data, chemical compound data, and using it to predict viable treatments. As…