))
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
«
»
Article 16. Algorithmic System Accuracy Reviews – Choosing the Right Approach
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on October 30, 2025 20:37 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 453207773 series 3594717
Contenu fourni par Risk Insights: Yusuf Moolla. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Risk Insights: Yusuf Moolla ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Spoken (by a human) version of this article.
- Outcome-focused accuracy reviews directly verify results, offering more robust assurance than process-focused methods.
- This approach can catch translation errors, unintended consequences, and edge cases that process reviews might miss.
- While more time-consuming and complex, outcome-focused reviews provide deeper insights into system reliability and accuracy.
This article explains why verifying outcomes is preferred over tracing through processes, and how it works.
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).
27 episodes
Partager
