Article 28. Algorithmic System Integrity: Explainability (Part 5) - Privacy And Confidentiality Algorithm Integrity Matters: For Financial Services Leaders, To Enhance Fairness And Accuracy In Data Processing podcast

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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing »
Article 28. Algorithmic System Integrity: Explainability (Part 5) - Privacy and Confidentiality

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TL;DR (TL;DL?)

Algorithmic systems create challenges in balancing explainability with privacy and confidentiality.
Key challenges include protecting sensitive information, preserving proprietary algorithms, and securing fraud detection systems.
Focusing on what audiences need, with a few specific considerations, can help address these.

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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#MBA #Business #Risk Insights: Yusuf Moolla #Audit #Algorithms #Bias #Accuracy #Fair #Algorithm Governance #Algorithm Integrity #Ai Governance #Ai Assurance #Ai Audit