People, every show

Cathy O'Neil

Founder & CEO, ORCAA. On 1 show, 1 appearance, plus 1 compilation re-air not counted. The Shows tab opens the full record on each.

authorscientistfounderexecutiveacademicanalyst@mathbabedotorg ↗mathbabe.org ↗Wikipedia ↗

Cathy O'Neil is the author of Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, examining algorithmic bias. A former quantitative analyst at D. E. Shaw and Barnard College academic, she founded the consulting firm ORCAA to audit algorithms for fairness and opacity.

1shows
1appearances
5statements
0resolved
0supported
0contradicted
5said about them ↓

Everything Cathy O'Neil said on any show that made the record, most notable first. Each card names its show and opens the statement there.

MAD Opinion
O'Neil: Data science is a war of moneyed interests against vulnerable people
“I think of data science as And the general modelization of everything in sight, including education, including getting a job insurance, health, it's a war. And we're losing. Like we are, this is a war of the people who have money and can go hire data scientist…”
Cathy O'Neil Dec 5, 2013 ▶ 37:10 Panel Discussion // Data Driven #16 // May 2013
MAD Insight
Cathy O'Neil: Data scientists must reject roles that treat them as implementers
“When mathematicians ask me how do you become a data scientist, I give them a lot of advice, but one piece of advice I have is if you interview with a business who thinks that you're an implementer and not a business person, then don't take that job.”
Cathy O'Neil Dec 5, 2013 ▶ 58:18 Panel discussion // Data Driven NYC #12 // Jan 2013
MAD Insight
O'Neil: Data problems that bypass feature selection will not yield financial returns
“Feature selection is always gonna be very important. If you have something that's so easy to answer that you don't have to care about feature selection, you're not gonna make any money doing it.”
Cathy O'Neil Dec 5, 2013 ▶ 52:50 Panel Discussion // Data Driven #16 // May 2013
MAD Insight
Cathy O'Neil: Bad data science stems from using algorithms without understanding them
“I think a lot of bad data science happens because people are like, I don't really know how this algorithm works. I'm hoping when I press this button, something good comes out. And look, it converged, so it must be okay.”
Cathy O'Neil Dec 5, 2013 ▶ 6:13 Panel Discussion // Data Driven #16 // May 2013
MAD Insight
O'Neil: The hardest data science role is conveying fundamental uncertainty
“The hardest role you have with data scientists, and this is when you get the label negative, is when you're saying, we actually don't know the answer to this, and you don't either, and no one knows the answer, and we can't pretend to know the answer.”
Cathy O'Neil Dec 5, 2013 ▶ 50:35 Panel Discussion // Data Driven #16 // May 2013

The other half of the tape: Cathy O'Neil's own voice is left out of every number here. Other people bring the name up 5 times in 3 episodes across the shows. every mention, with the transcript →

Who brings them up most Natalie Evans-Harris 2Gary Marcus 2Rachel Schutt 1

Every mention by year

tap a year for its mentions
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011201420152016201720182019episodes it came up in
0010.521201420152016201720182019episodesmentions per episode

the MAD Podcast 5

2019 2 mentions in 1 episode
2018 2 mentions in 1 episode
2014 1 mention in 1 episode

One line per show, most statements first. The link opens Cathy's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
MADLEDGER Founder & CEO, ORCAA 1 +1 5 full record on the MAD Podcast →
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