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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 29. Algorithmic System Integrity: Explainability (Part 6) - Interpretability
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Spoken by a human version of this article.
TL;DR (TL;DL?)
- Technical stakeholders need detailed explanations.
- Non-technical stakeholders need plain language.
- Visuals, layering, literacy, and feedback are among the techniques we can use.
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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