• Article 23. Algorithmic System Integrity: Testing

  • Feb 21 2025
  • Duración: 6 m
  • Podcast

Article 23. Algorithmic System Integrity: Testing

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  • Resumen

  • 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).
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