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Algorithm Integrity Matters: for Financial Services leaders, to enhance fairness and accuracy in data processing
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Article 10. Fairness reviews: identifying essential attributes
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Spoken (by a human) version of this article.
When we're checking for fairness in our algorithmic systems (incl. processes, models, rules), we often ask:
What are the personal characteristics or attributes that, if used, could lead to discrimination?
This article provides a basic framework for identifying and categorising these attributes.
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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