))
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
»
Article 23. Algorithmic System Integrity: Testing
Manage episode 467744728 series 3594717
内容由Risk Insights: Yusuf Moolla提供。所有播客内容（包括剧集、图形和播客描述）均由 Risk Insights: Yusuf Moolla 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品，您可以按照此处概述的流程进行操作https://zh.player.fm/legal。
Spoken by a human version of this article.
TL;DR (TL;DL?)
- Testing is a core basic step for algorithmic integrity.
- Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.
- Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.
- Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems change (without code changes).
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集单集
分享
