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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 14. External data - use with care
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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.
Banks and insurers are increasingly using external data; using them beyond their intended purpose can be risky (e.g. discriminatory).
Emerging regulations and regulatory guidance emphasise the need for active oversight by boards, senior management to ensure responsible use of external data.
Keeping the customer top of mind, asking the right questions, and focusing on the intended purpose of the data, can help reduce the risk.
Law and guideline mentioned in the article:
- Colorado's External Consumer Data and Information Sources (ECDIS) law
- New York's proposed circular letter.
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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