))
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
«
»
Article 20. Algorithm Reviews: Public vs Private Reports
Fetch error
Hmmm there seems to be a problem fetching this series right now.
Last successful fetch was on October 30, 2025 20:37 (
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 462005822 series 3594717
Content provided by Risk Insights: Yusuf Moolla. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Risk Insights: Yusuf Moolla or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
Spoken (by a human) version of this article.
- Public AI audit reports aren't universally required; they mainly apply to high-risk applications and/or specific jurisdictions.
- The push for transparency primarily concerns independent audits, not internal reviews.
- Prepare by implementing ethical AI practices and conducting regular reviews.
Note: High-risk AI systems in banking and insurance are subject to specific requirements
Links
- AI and algorithm audit guidelines vary widely and are not universally applicable. We discussed this in a previous article, outlining how the appropriateness of audit guidance depends on your circumstances.
- Audit vs Review: we explored this topic in depth in a previous article.
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).
27 episoade
Distribuie
