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Article 25. Algorithmic System Integrity: Explainability (Part 2) - Complexity
Spoken by a human version of this article.
TL;DR (TL;DL?)
- Complexity must be actively managed rather than passively accepted.
- Data relevance directly impacts both accuracy and explainability.
- Technical “visibility” techniques can be useful.
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?)
- Complexity must be actively managed rather than passively accepted.
- Data relevance directly impacts both accuracy and explainability.
- Technical “visibility” techniques can be useful.
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).