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Article 29. Algorithmic System Integrity: Explainability (Part 6) - Interpretability
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.
To subscribe to the weekly articles: https://riskinsights.com.au/blog#subscribe
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).
View all episodes
By Risk Insights: Yusuf MoollaSpoken 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.
To subscribe to the weekly articles: https://riskinsights.com.au/blog#subscribe
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).