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Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data
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64. Cathy O'Neil, Algorithm Auditor, Author of WMathD
Manage episode 356627403 series 2801356
Suggestions/questions - click here to send us a message!
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)
- This episode's web page: https://www.riskinsights.com.au/podcast/the-assurance-show-64/
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).
66 bölüm
64. 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
Suggestions/questions - click here to send us a message!
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)
- This episode's web page: https://www.riskinsights.com.au/podcast/the-assurance-show-64/
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).
66 bölüm
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