))
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
«
»
Article 20. Algorithm Reviews: Public vs Private Reports
Manage episode 462005822 series 3594717
Контент предоставлен Risk Insights: Yusuf Moolla. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Risk Insights: Yusuf Moolla или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.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).
23 эпизодов
Поделиться
