Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing

By Risk Insights: Yusuf Moolla

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Category: Management

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Episodes: 33

Description

Insights for financial services leaders who want to enhance fairness and accuracy in their use of data, algorithms, and AI.

 

Each episode explores challenges and solutions related to algorithmic integrity, including discussions on navigating independent audits.

 

The goal of this podcast is to give leaders the knowledge they need to ensure their data practices benefit customers and other stakeholders, reducing the potential for harm and upholding industry standards.


Episode Date
Article 29. Algorithmic System Integrity: Explainability (Part 6) - Interpretability
Dec 22, 2025
Article 28. Algorithmic System Integrity: Explainability (Part 5) - Privacy and Confidentiality
Dec 21, 2025
Article 27. Algorithmic System Integrity: Explainability (Part 4)
Dec 20, 2025
Article 26. Algorithmic System Integrity: Explainability (Part 3) - Complicated Processes
Dec 20, 2025
Article 25. Algorithmic System Integrity: Explainability (Part 2) - Complexity
Dec 19, 2025
Article 24. Algorithmic System Integrity: Explainability (Part 1)
Dec 19, 2025
Article 23. Algorithmic System Integrity: Testing
Feb 21, 2025
Article 22. Algorithm Integrity: Third party assurance
Feb 16, 2025
Guest 3. Shea Brown, Founder and CEO of BABL AI
Jan 31, 2025
Article 21. AI Risk Training: Role-based tailoring
Jan 31, 2025
Guest 2. Patrick Sullivan: VP of Strategy and Innovation at A-LIGN
Jan 21, 2025
Guest 1. Ryan Carrier: Executive Director of ForHumanity
Jan 20, 2025
Article 20. Algorithm Reviews: Public vs Private Reports
Jan 15, 2025
Article 19. Algorithmic System Reviews: Substantive vs. Controls Testing
Jan 13, 2025
Article 18. Algorithm Integrity: Training and Awareness
Dec 12, 2024
Article 17. Algorithm Integrity: Audit vs Review
Dec 03, 2024
Article 16. Algorithmic System Accuracy Reviews – Choosing the Right Approach
Nov 26, 2024
Article 15. Algorithm Integrity Documentation - Getting Started
Nov 19, 2024
Article 14. External data - use with care
Nov 12, 2024
Article 13. Bridging the purpose-risk gap: Customer-first algorithmic risk assessments
Nov 05, 2024
Article 12. Risk-Focused Principles for Change Control in Algorithmic Systems
Oct 29, 2024
Article 11. Deprovisioning User Access to Maintain Algorithm Integrity
Oct 22, 2024
Article 10. Fairness reviews: identifying essential attributes
Oct 15, 2024
Article 9. Algorithmic Integrity: Don't wait for legislation
Oct 08, 2024
Article 8. A Balanced Focus on New and Established Algorithms
Oct 01, 2024
Article 7. Postcodes: Hidden Proxies for Protected Attributes
Sep 24, 2024
Article 6. Balancing Security and Access for increased algorithmic integrity
Sep 17, 2024
Article 5. Equal vs Equitable: Algorithmic Fairness
Sep 10, 2024
Article 4. Structuring the Audit Objective: 10 Key Aspects of Algorithm Integrity
Sep 03, 2024
Article 3. Navigate Algorithm Audit Guidance: some aren't relevant to your context
Aug 27, 2024
Article 2. Choice vs obligation: motivation shapes the effectiveness of your review
Aug 20, 2024
Article 1. How reliable is the algorithm review that you have commissioned?
Aug 13, 2024
0. Introduction
Aug 06, 2024