Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
Risk Insights: Yusuf Moolla
27 episodes
7 months ago
Spoken by a human version of this article. TL;DR (TL;DL?) Testing is a core basic step for algorithmic integrity.Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems chang...
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Spoken by a human version of this article. TL;DR (TL;DL?) Testing is a core basic step for algorithmic integrity.Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems chang...
Article 18. Algorithm Integrity: Training and Awareness
Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
4 minutes
10 months ago
Article 18. Algorithm Integrity: Training and Awareness
Spoken by a human version of this article. Ongoing education helps everyone understand their role in responsibly developing and using algorithmic systems. Regulators and standard-setting bodies emphasise the need for AI literacy across all organisational levels. Links ForHumanity - join the growing community here. ForHumanity - free courses here.IAIS: The International Association of Insurance Supervisors is developing a guidance paper on the supervision of AI.DNB: De Nederlandsche Ba...
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?) Testing is a core basic step for algorithmic integrity.Testing involves various stages, from developer self-checks to UAT. Where these happen will depend on whether the system is built in-house or bought.Testing needs to cover several integrity aspects, including accuracy, fairness, security, privacy, and performance.Continuous testing is needed for AI systems, differing from traditional testing due to the way these newer systems chang...
