Category: Diversity, Equity & Inclusion
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Trust in the Digital Age Requires Data Ethics and a Data Literate Workforce
Author: Andrew Beers; Publisher: Forbes; Publication Year: 2022. The following article lists guidelines for ethical standards for companies using data ethics and AI. The first of the 3 guidelines is by setting up review panels.…
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Data Sharing in Healthcare: Ethical Considerations for a Remote Era of Research
Big Data, Clinical-Trial Research, Contact Research Organizations, CROs, Data Sharing, Public HealthAuthor: Andrea Bastek; Publisher: MedCity News; Publication Year: 2021. The following article describes how the collection and distribution of big data has the potential to revolutionize the work done in clinical-trial research, particularly by contact…
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A Framework for Centering Racial Equity Throughout the Administrative Data Life Cycle
Author: Amy L Hawn Nelson, Sharon Zanti; Publisher: International Journal of Population Data Science; Publication Date: 2020. The following PDF is a framework for centering racial equity throughout the administrative data lifecycle. This is an…
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Preventing Data Bias: Why Data Ethics Needs a Champion
Artificial Intelligence, Artificial Intelligence Systems, Automation, Biased Data, Data Decision-Making, Propagating Bias, UpskillingAuthor: Alan Jacobson; Publisher: Digit News; Publication Year: 2022. The following article illustrates data’s profound impact on the world around us today. The author then states the power of automated data decision-making, such as artificial…
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Inequality in the Data Science Industry
Algorithms, Automation, Bias Avoidance, Gender Differences, Hard-Coded Racism, Malicious Actors, Recidivism Rates, Representation in Training Datasets, Weapons of Math DestructionAuthor: Aisulu Omar; Publisher: Towards Data Science; Publication Year: 2022. The following article discusses how data scientists should be more cognizant of the role they play in organizations. Their skill set as a tool can…
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An Evaluation of the Job Landscape and Trends in AI Ethics
Artificial Intelligence, Demographic Bias, Geographic Bias, Job Landscape, Private Sector, StatisticsAuthor: Quentin J Louis, Joshua Walker, Katherine Lai, Victoria Matthews, Kitty Atwood, Susanna Raja, Ayomikun Bolaji; Publisher: Data Ethics 4 All; Publication Year: 2022. The following resource is an in-depth evaluation with three recommendations including…