Artwork

Content provided by Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

64. Cathy O'Neil, Algorithm Auditor, Author of WMathD

44:06
 
Share
 

Manage episode 356627403 series 2801356
Content provided by Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Our guest is Cathy O'Neil, author of Weapons of Math Destruction: how big data increases inequality and threatens democracy.
Cathy joined us to discuss critical aspects for auditors to consider, including:

  • The human element: why understanding 'for whom an algorithm might fail' is more important than the detailed technical design of an algorithm.
  • Algorithm testing: the importance of post-deployment testing to ensure there are no unintended adverse outcomes.
  • Setting standards: the need for industry-wide standards so that regulators can ensure there is no bias or discrimination in how algorithms operate.
  • Laggers and leaders: the four big industries/domains using algorithms that need to step up audit in their space and how law-makers and regulators are catching up.
  • Emerging AI, e.g. language models/chatbots - why trust by users is key, and the pros and cons of using these models.

Links

About this podcast

The podcast for performance auditors and internal auditors that focuses on data & risk. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

  continue reading

66 episodes

Artwork
iconShare
 
Manage episode 356627403 series 2801356
Content provided by Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Our guest is Cathy O'Neil, author of Weapons of Math Destruction: how big data increases inequality and threatens democracy.
Cathy joined us to discuss critical aspects for auditors to consider, including:

  • The human element: why understanding 'for whom an algorithm might fail' is more important than the detailed technical design of an algorithm.
  • Algorithm testing: the importance of post-deployment testing to ensure there are no unintended adverse outcomes.
  • Setting standards: the need for industry-wide standards so that regulators can ensure there is no bias or discrimination in how algorithms operate.
  • Laggers and leaders: the four big industries/domains using algorithms that need to step up audit in their space and how law-makers and regulators are catching up.
  • Emerging AI, e.g. language models/chatbots - why trust by users is key, and the pros and cons of using these models.

Links

About this podcast

The podcast for performance auditors and internal auditors that focuses on data & risk. Hosted by Conor McGarrity and Yusuf Moolla. Produced by Risk Insights (riskinsights.com.au).

  continue reading

66 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide