Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
Risk Insights: Yusuf Moolla
29 episodes
3 weeks ago
Spoken by a human version of this article. TL;DR (TL;DL?) Complexity must be actively managed rather than passively accepted.Data relevance directly impacts both accuracy and explainability.Technical “visibility” techniques can be useful.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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Spoken by a human version of this article. TL;DR (TL;DL?) Complexity must be actively managed rather than passively accepted.Data relevance directly impacts both accuracy and explainability.Technical “visibility” techniques can be useful.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).
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?) Complexity must be actively managed rather than passively accepted.Data relevance directly impacts both accuracy and explainability.Technical “visibility” techniques can be useful.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).
