Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing

Article 25. Algorithmic System Integrity: Explainability (Part 2) - Complexity

Spoken by a human version of this article.

TL;DR (TL;DL?)

  • Complexity must be actively managed rather than passively accepted.
  • Data relevance directly impacts both accuracy and explainability.
  • Technical “visibility” techniques can be useful.

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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).