Data Intersections 2020 | Heather Krause
Автор: UMIDSC
Загружено: 2020-02-21
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Talk Title: "How not to use data like a racist, sexist, homophobe (etc. . . .) A seven-step framework for ethics and equity in data"
by Heather Krause
Founder of Datassist and We All Count
Very few people build data products because they want to promote racist or sexist ideas. However, it’s very easy to accidentally fall into these traps, particularly when there’s so much talk about the objectivity of evidence. It’s really easy to make mistakes when using data. A working understanding of how to incorporate ethics and equity into data products is essential for anyone conducting data analysis or making decisions based on data analysis. This talk provides you with several shocking real-world examples and a seven-step framework for identifying inequity and hidden bias in the data product lifecycle. As interest in ethics in data grows, this remains one of the few actionable frameworks for making equitable change in the way you use data as a team. It has been successfully implemented to improve ethics within data, algorithms, dashboards and more at Mastercard, Oxfam, the UN, the Margaret Cargill Foundation, Borealis, and several national governments.
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