DataFramed

#50 Weapons of Math Destruction


Listen Later

In episode 50, our Season 1, 2018 finale of DataFramed, the DataCamp podcast, Hugo speaks with Cathy O’Neil, data scientist, investigative journalist, consultant, algorithmic auditor and author of the critically acclaimed book Weapons of Math Destruction. Cathy and Hugo discuss the ingredients that make up weapons of math destruction, which are algorithms and models that are important in society, secret and harmful, from models that decide whether you keep your job, a credit card or insurance to algorithms that decide how we’re policed, sentenced to prison or given parole? Cathy and Hugo discuss the current lack of fairness in artificial intelligence, how societal biases are perpetuated by algorithms and how both transparency and auditability of algorithms will be necessary for a fairer future. What does this mean in practice? Tune in to find out. As Cathy says, “Fairness is a statistical concept. It's a notion that we need to understand at an aggregate level.” And, moreover, “data science doesn't just predict the future. It causes the future.”LINKS FROM THE SHOW

DATAFRAMED SURVEY

  • DataFramed Survey (take it so that we can make an even better podcast for you)

DATAFRAMED GUEST SUGGESTIONS

  • DataFramed Guest Suggestions (who do you want to hear on Season 2?)

FROM THE INTERVIEW

  • Cathy on Twitter
  • Cathy's Blog Mathbabe
  • Weapons of Math Destruction: How big data increases inequality and threatens democracy by Cathy O'Neil
  • Cathy's Opinion Column, Bloomberg 
  • Doing Data Science (By Cathy O'Neil and Rachel Schutt)
  • Cathy O'Neil & Hanna Gunn's "Ethical Matrix" paper coming soon.

FROM THE SEGMENTS

Data Science Best Practices (with Heather Nolis ~20:30)

  • Using docker to deploy an R plumber API (By Jonathan Nolis and Heather Nolis)
  • Enterprise Web Services with Neural Networks Using R and TensorFlow (By Jonathan Nolis and Heather Nolis)

Data Science Best Practices (with Ben Skrainka ~39:35)

  • The Clean Coder Blog (By Robert C. Martin)
  • James Shore’s blog post on Red, Green, Refactor
  • Jeff Knupp’s Python Unittesting tutorial (general unit tests in Python)
  • John Myles White’s Intro to Unit Testing in R

Original music and sounds by The Sticks.

...more
View all episodesView all episodes
Download on the App Store

DataFramedBy DataCamp

  • 4.9
  • 4.9
  • 4.9
  • 4.9
  • 4.9

4.9

265 ratings


More shows like DataFramed

View all
Data Skeptic by Kyle Polich

Data Skeptic

478 Listeners

Talk Python To Me by Michael Kennedy

Talk Python To Me

587 Listeners

Software Engineering Daily by Software Engineering Daily

Software Engineering Daily

624 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

297 Listeners

Python Bytes by Michael Kennedy and Brian Okken

Python Bytes

214 Listeners

NVIDIA AI Podcast by NVIDIA

NVIDIA AI Podcast

341 Listeners

Practical AI by Practical AI LLC

Practical AI

206 Listeners

The Real Python Podcast by Real Python

The Real Python Podcast

142 Listeners

Last Week in AI by Skynet Today

Last Week in AI

303 Listeners

Machine Learning Street Talk (MLST) by Machine Learning Street Talk (MLST)

Machine Learning Street Talk (MLST)

87 Listeners

Me, Myself, and AI by MIT Sloan Management Review

Me, Myself, and AI

106 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

95 Listeners

The AI Daily Brief: Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief: Artificial Intelligence News and Analysis

555 Listeners

AI + a16z by a16z

AI + a16z

33 Listeners

Training Data by Sequoia Capital

Training Data

41 Listeners