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).
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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).
Article 24. Algorithmic System Integrity: Explainability (Part 1)
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
6 minutes
3 weeks ago
Article 24. Algorithmic System Integrity: Explainability (Part 1)
Spoken by a human version of this article. TL;DR (TL;DL?) Why Explainability Matters: It builds trust, is needed to meet compliance obligations, and can help identify errors faster.Key Challenges: Complex algorithms, intricate workflows, privacy concerns, and making explanations understandable for all stakeholders.What’s Next: Future articles will explore practical solutions to these challenges. About this podcast A podcast for Financial Services leaders, where we discuss fairness and accur...
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).
