))
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
Manage episode 453207773 series 3594717
Contenuto fornito da Risk Insights: Yusuf Moolla. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Risk Insights: Yusuf Moolla o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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).
19 episodi
Condividi
