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

Article 14. External data - use with care


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Spoken (by a human) version of this article.

Banks and insurers are increasingly using external data; using them beyond their intended purpose can be risky (e.g. discriminatory).

Emerging regulations and regulatory guidance emphasise the need for active oversight by boards, senior management to ensure responsible use of external data.

Keeping the customer top of mind, asking the right questions, and focusing on the intended purpose of the data, can help reduce the risk.

Law and guideline mentioned in the article: 

  • Colorado's External Consumer Data and Information Sources (ECDIS) law 
  • New York's proposed circular letter.

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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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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processingBy Risk Insights: Yusuf Moolla