Article 29. Algorithmic System Integrity: Explainability (Part 6) - Interpretability cover art

Article 29. Algorithmic System Integrity: Explainability (Part 6) - Interpretability

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.

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A podcast for Financial Services leaders, where we discuss fairness and accuracy in the use of data, algorithms, and AI.

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Produced by Risk Insights (riskinsights.com.au).

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