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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 18. Algorithm Integrity: Training and Awareness
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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.
Ongoing education helps everyone understand their role in responsibly developing and using algorithmic systems.
Regulators and standard-setting bodies emphasise the need for AI literacy across all organisational levels.
Links
- ForHumanity - join the growing community here.
- ForHumanity - free courses here.
- IAIS: The International Association of Insurance Supervisors is developing a guidance paper on the supervision of AI.
- DNB: De Nederlandsche Bank - 6 general principles for the use of AI in the financial sector.
- ASIC: The Australian Securities & Investments Commission - report.
- NIST: The National Institute of Standards and Technology - AI Risk Management Framework.
- EU AI Act: The European Union Artificial Intelligence Act - specific expectation about “AI literacy”.
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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