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Article 9. Algorithmic Integrity: Don't wait for legislation

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Manage episode 444207066 series 3594717
Kandungan disediakan oleh Risk Insights: Yusuf Moolla. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Risk Insights: Yusuf Moolla atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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  • new algorithm-focused laws can be too narrow or quickly outdated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).

  continue reading

19 episod

Artwork
iconKongsi
 
Manage episode 444207066 series 3594717
Kandungan disediakan oleh Risk Insights: Yusuf Moolla. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Risk Insights: Yusuf Moolla atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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  • new algorithm-focused laws can be too narrow or quickly outdated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).

  continue reading

19 episod

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