Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
Risk Insights: Yusuf Moolla
27 episodes
7 months ago
Spoken by a human version of this article. TL;DR (TL;DL?) Testing is a core basic step for algorithmic integrity.Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems chang...
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Spoken by a human version of this article. TL;DR (TL;DL?) Testing is a core basic step for algorithmic integrity.Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems chang...
Article 9. Algorithmic Integrity: Don't wait for legislation
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
10 minutes
1 year ago
Article 9. Algorithmic Integrity: Don't wait for legislation
Spoken (by a human) version of this article. Legislation isn't the silver bullet for algorithmic integrity. Are they useful? Sure. They help provide clarity and can reduce ambiguity. And once a law is passed, we must comply. However: existing legislation may already applynew algorithm-focused laws can be too narrow or quickly outdatedstandards can be confusing, and may not cover what we need"best practice" frameworks help, but they're not always the best (and there are several,...
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
Spoken by a human version of this article. TL;DR (TL;DL?) Testing is a core basic step for algorithmic integrity.Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems chang...
