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