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

A tartalmat a Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Risk Insights, Yusuf Moolla, Conor McGarrity, Risk Insights, Yusuf Moolla, and Conor McGarrity vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

2+ y ago 44:06

MP3•Epizód kép

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 epizódok

#MBA #Business #Internal Audit #Performance Audit #Data In Audit #Data Governance In Audit #Auditviz #Visualization In Audit #Machine Learning In Audit #Full Population Analytics For Audit #Government #Risk Insights

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

published 2+ y ago

Megosztás

MP3•Epizód kép

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)

59 epizódok

Minden epizód

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Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data « » 56. Cathy O'Neil, Algorithm Auditor, Author of WMathD

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

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Hasonló a(z) Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data sorozathoz

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Auditing with data: for Performance Auditors and Internal Auditors that use (or want to use) data « »
56. Cathy O'Neil, Algorithm Auditor, Author of WMathD