Category: Diversity, Equity & Inclusion
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How Health Systems Implement Ethical Artificial Intelligence
Artificial Intelligence, Augmented Intelligence, Decision-Making, Health Disparities, World Health OrganizationAuthor: Erin McNemar; Publisher: Health IT Analytics; Publication Year: 2021. The following article talks about the implementation of ethical artificial intelligence (AI) in healthcare. The World Health Organization (WHO) has come up with 6 principles…
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Advancing Racial Equity with Data
Author: Emily Hadley Publisher: RTI International Publication Year: 2022 Summary: The following article discusses how since 2020, the American Statistical Association (ASA) created the ASA Antiracism Task Force to advance racial equity and justice. The…
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The Ethical Dilemma at the Heart of Big Tech Companies
Administrative Regulations, Algorithmic Accountability Documentation, Business, Human Resource Decisions, Investment PrioritiesAuthor: Emanuel Moss, Jacob Metcalf; Publisher: Harvard Business Review; Publication Year: 2019. The following article discusses how for better or worse, the parameters of ethically-developed business processes will drive future administrative regulations, algorithmic accountability documentation,…
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Questions and Answers to Clarify and Provide a Common Interpretation of the Uniform Guidelines on Employee Selection Procedures
Author: Eleanor Holmes Norton, Alan K. Campbell, Drew S. Days III, Weldon J. Rougeau, Kent A. Peterson; Publisher: U.S. Equal Employment Opportunity Commission; Publication Year: 1979. The following article is more specific to a particular…
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How Flawed Data Aggravates Inequality in Credit
Author: Edmund L. Andrews; Publisher: Stanford University; Publication Year: 2021. The following article discusses how artificial intelligence (AI) models used to determine credit worthiness for lending are less accurate for lower-income and minority borrowers, in…
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Healthcare Researchers Must Be Wary of Misusing AI
Author: Duke-NUS Medical School; Publisher: Science Daily; Publication Year: 2022. The following article advises that strong care needs to be taken not to misuse or overuse machine learning in healthcare research. An international team of…