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

Article 28. Algorithmic System Integrity: Explainability (Part 5) - Privacy and Confidentiality

Spoken by a human version of this article.

TL;DR (TL;DL?)

  • Algorithmic systems create challenges in balancing explainability with privacy and confidentiality.
  • Key challenges include protecting sensitive information, preserving proprietary algorithms, and securing fraud detection systems.
  • Focusing on what audiences need, with a few specific considerations, can help address these.

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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).