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- Rumman Chowdhury was born in 1980 in Rockland County, New York. She is a Bengali American data scientist, a business founder, and former Responsible Artificial Intelligence Lead at Accenture. She enjoyed watching science fiction and attributes her curiosity about science to the Dana Scully effect. She completed her undergraduate study in Management Science and Political Science at Massachusetts Institute of Technology. She received a Master's of Science from Columbia University in Statistics and Quantitative methods. She holds a Doctorate Degree in Political Science from University of California, San Diego. She finished her PhD whilst working in Silicon Valley. Her main interest and focus for her career and higher educational studies was how data can be used to understand people's bias and ways to evaluate the impact of technology on humanity From February 2021 till November 2022 she worked in the META team at Twitter, working on changes to Twitter's AI algorithm to make it more in line with ethical guidelines. (en)
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- 12049 (xsd:nonNegativeInteger)
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- Rumman Chowdhury at the AI for Good Global Summit 2018 (en)
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- Steven Erie (en)
- Thaddeus Kousser (en)
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- Beating Plowshares into Swords: The Impact of the Metropolitan-Military Complex (en)
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- Rumman Chowdhury was born in 1980 in Rockland County, New York. She is a Bengali American data scientist, a business founder, and former Responsible Artificial Intelligence Lead at Accenture. She enjoyed watching science fiction and attributes her curiosity about science to the Dana Scully effect. She completed her undergraduate study in Management Science and Political Science at Massachusetts Institute of Technology. She received a Master's of Science from Columbia University in Statistics and Quantitative methods. She holds a Doctorate Degree in Political Science from University of California, San Diego. She finished her PhD whilst working in Silicon Valley. Her main interest and focus for her career and higher educational studies was how data can be used to understand people's bias and (en)
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