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A Guide for Ethical Data Science
lnbressa
Author: Institute and Faculty of Actuaries; Publisher: Royal Statistical Society; Publication Year: 2019. The following article is a very well designed code of ethics that revolves around its defined 5 major themes of data ethics: 1). Seek to enhance the value of data science for society; 2). Avoid harm; 3). Apply and maintain professional competence;…
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Microsoft’s Framework for Building AI Systems Responsibly
lnbressa
Author: Natasha Crampton; Publisher: Microsoft; Publication Year: 2022. The following article features Natasha who is the Chief Responsible Artificail Intelligence (AI) officer at Microsoft. She talks about a framework to guide how we build AI systems. The standard details concrete goals or outcomes that teams developing AI systems must strive to secure. These goals help…
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What You Need to Know About AI Ethics
Author: John Edwards; Publisher: Information Week; Publication Year: 2022. The following article discusses how artificial Intelligence (AI) is becoming more popular as tech continues to grow, but with that, the number and intensity of concerns with the use of AI is growing, too. The major concerns this article discusses are issues of bias, explainability, data…
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Principles for the Safe and Effective use of Data and Analytics
2018, Code of Ethics, Diversity, Equity & Inclusion, Education & Training, Notable People, White Paperlnbressa
Author: N/A; Publisher: New Zealand Government; Publication Year: 2018. The following document contains a list of principles developed for the safe and effective use of data and analytics. The first principle states that any organization should clearly deliver the public benefit out of the data collection. It’s their responsibility to ensure not only that the…
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