Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
Risk Insights: Yusuf Moolla
29 episodes
3 weeks ago
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.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).
All content for Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing is the property of Risk Insights: Yusuf Moolla and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.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).
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
6 minutes
1 year ago
Article 14. External data - use with care
Spoken (by a human) version of this article. Banks and insurers are increasingly using external data; using them beyond their intended purpose can be risky (e.g. discriminatory). Emerging regulations and regulatory guidance emphasise the need for active oversight by boards, senior management to ensure responsible use of external data. Keeping the customer top of mind, asking the right questions, and focusing on the intended purpose of the data, can help reduce the risk. Law and guideline men...
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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.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).