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Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data
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56. Cathy O'Neil, Algorithm Auditor, Author of WMathD
Manage episode 356627403 series 2801356
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
- Cathy's company, ORCAA
- Weapons of Math Destruction (book)
About this podcast
The podcast for performance auditors and internal auditors that use (or want to use) data.
Hosted by Conor McGarrity and Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).
59 afleveringen
56. Cathy O'Neil, Algorithm Auditor, Author of WMathD
Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data
Manage episode 356627403 series 2801356
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
- Cathy's company, ORCAA
- Weapons of Math Destruction (book)
About this podcast
The podcast for performance auditors and internal auditors that use (or want to use) data.
Hosted by Conor McGarrity and Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).
59 afleveringen
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