Article 27. Algorithmic System Integrity: Explainability (Part 4)
Failed to add items
Sorry, we are unable to add the item because your shopping basket is already at capacity.
Add to cart failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Article 27. Algorithmic System Integrity: Explainability (Part 4)
-
Narrated by:
-
Written by:
About this listen
Spoken by a human version of this article.
TL;DR (TL;DL?)
- Explainability is necessary to build trust in AI systems.
- There is no universally accepted definition of explainability.
- So we focus on key considerations that don't require us to select any particular definition.
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).
No reviews yet