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.
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When we talk about security in algorithmic systems, it's easy to focus solely on keeping the bad guys out.
But there's another side to this coin that's just…
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Fairness in algorithmic systems is a multi-faceted, and developing, topic.
In episode 4, we explored ten key aspects to consider when scoping an algorithm i…
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In Episode 1, we explored the challenges of placing undue reliance on audits.
One potential solution that we outlined is a clear scope, particularly regardi…
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AI and algorithm audits help ensure ethical and accurate data processing, preventing harm and disadvantage.
However, the guidelines are not yet mature, and …
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The motivation(s) for commissioning a review can determine how effective it will be.
Consider a personal health check-up:
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One common issue with audits is undue reliance.
Can you rely on the audit report to tell you what you need to know?
Could you be relying on it too much?
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A brief intro to the podcast.
If you have suggestions for topics you'd like me to cover, feel free to reach out to me via email. [email protected]
About this podcast
A podcast for Financial Serv…