Category: 2021
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What Skills do You Need for Working in Data Ethics?
Author: Natalia Domagala; Publisher: gov.uk; Publication Year: 2021. The following article discusses how data science has proven to be a quickly changing and complex field to navigate from the perspective of ethical use. The best…
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Salesforce Debuts AI Ethics Model: How Ethical Practices Further Responsible Artificial Intelligence
Author: N/A; Publisher: Sales Force: News & Insights; Publication Year: 2021. The following article describes how it comes as no surprise that consumers do not typically trust artificial intelligence (AI) technology. Ethical AI is the…
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Predictive Privacy: Towards an Applied Ethics of Data Analytics
Author: Rainer Mühlhoff; Publisher: Ethics and Information Technology; Publication Year: 2021. The following paper focuses on predictive analytics (PA), where a model is used to predict the actions of a target individual/group based on large…
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Can Machine Learning be Moral?
Author: Miguel Sicart, Irina Shklovski, Mirabelle Jones; Publisher: N/A; Publication Year: 2021. The following paper attempts to answer a critical question that has vexed many debates: what constitutes an ethically accountable machine learning system? The…
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The Importance of Ethics in Biostatistics
Author: Melody Goodman; Publisher: NYU School of Public Health; Publication Year: 2021. The following article discusses how biostatisticians are narrators who must be ethical in the way we tell stories. We must be aware of…
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Responsible AI Dashboard: A One-Stop Shop for Operationalizing Responsible AI in Practice
Artificial Intelligence, Casual Inference, Counterfactual Analysis, Error Analysis, Machine Learning, Unfairness Assessment, Unfairness MitigationAuthor: Mehrnoosh Sameki; Publisher: Microsoft; Publication Year: 2021. The following dashboard can be used to make sure data scientists ethically and responsibly take the correct approach towards artificial intelligence or machine learning. “A single pane…
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Discrimination in a Sea of Data: Exploring the Ethical Implications of Student Success Analytics
Algorithms, Artificial Intelligence, Learning Management Systems, Machine Learning, Student Success AnalyticsAuthor: Maureen Guarcello, Linda Feng, Shahriar Panahi, Szymon Machajewski and Marcia Ham; Publisher: Educause Review; Publication Year: 2021. The following article pertains to the ethics of using artificial intelligence (AI) and/or machine learning (ML) to…
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Using Data Science to Boost Diversity, Using Diversity to Boost Data Science
Author: Matt Swayne; Publisher: Penn State; Publication Year: 2021. The following article discusses the symposium, “Harnessing the Data Revolution to Enhance Diversity,” which had the message “Data science can only be data science for good…