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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 9. Algorithmic Integrity: Don't wait for legislation
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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 apply
- new algorithm-focused laws can be too narrow or quickly outdated
- standards 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, so they can't all be "best").
In short, they are helpful.
But we need to know what we're getting - what they cover, don't cover, etc.
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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