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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 28. Algorithmic System Integrity: Explainability (Part 5) - Privacy and Confidentiality
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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.
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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