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#31: Cathy O’Neil on Weapons of Math Destruction
Manage episode 312466903 series 3154917
"We have to acknowledge that it doesn't benefit everyone and understand the extend to which it harms people" — Cathy O’Neil
Cathy O’Neil earned a Ph.D. in math from Harvard, was a postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene, building models that predicted people’s purchases and clicks. She wrote Doing Data Science in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014. She is a regular contributor to Bloomberg View and wrote the book Weapons of Math Destruction: how big data increases inequality and threatens democracy. She recently founded ORCAA, an algorithmic auditing company.
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For show notes and past guests, please visit https://aiasiapacific.org/index.php/podcasts/.fsa
If you have questions or are interested in sponsoring the podcast, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.
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Manage episode 312466903 series 3154917
"We have to acknowledge that it doesn't benefit everyone and understand the extend to which it harms people" — Cathy O’Neil
Cathy O’Neil earned a Ph.D. in math from Harvard, was a postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene, building models that predicted people’s purchases and clicks. She wrote Doing Data Science in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014. She is a regular contributor to Bloomberg View and wrote the book Weapons of Math Destruction: how big data increases inequality and threatens democracy. She recently founded ORCAA, an algorithmic auditing company.
***
For show notes and past guests, please visit https://aiasiapacific.org/index.php/podcasts/.fsa
If you have questions or are interested in sponsoring the podcast, please email us at contact@aiasiapacific.org or follow us on Twitter to stay in touch.
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