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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 4. Structuring the Audit Objective: 10 Key Aspects of Algorithm Integrity
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เนื้อหาจัดทำโดย Risk Insights: Yusuf Moolla เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Risk Insights: Yusuf Moolla หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Spoken (by a human) version of this article.
In Episode 1, we explored the challenges of placing undue reliance on audits.
One potential solution that we outlined is a clear scope, particularly regarding the audit objective.
In this episode, we focus on algorithm integrity as the broad audit objective.
While it’s easy to assert that an algorithm has integrity, confirming this assertion is a bit more complex.
To help simplify this, this episode breaks it down into a set of key areas to consider.
About this podcast
A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.
Hosted by Yusuf Moolla.
Produced by Risk Insights (riskinsights.com.au).
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