
Article 23. Algorithmic System Integrity: Testing
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).
資訊
- 節目
- 頻率每週更新
- 發佈時間2025年2月21日 上午1:00 [UTC]
- 長度6 分鐘
- 季數1
- 集數26
- 年齡分級兒少適宜