SAFE Artificial Intelligence in finance

Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Overview Tools Metrics About the catalogue

Website

We propose a set of interrelated metrics, all based on the notion of AI output concentration, and the related Lorenz curve/Lorenz area under the curve, able to measure the Sustainability/robustness, Accuracy, Fairness/privacy, Explainability/accountability of any AI application. All measures are normalised between 0 and 1 and can be easily calculated and integrated

References

https://doi.org/10.1016/j.frl.2023.104088

About the metric

You can click on the links to see the associated metrics

Objective(s):

Fairness
Robustness & digital security
Transparency & explainability

Purpose(s):

Forecasting/prediction

Target sector(s):

Finance and insurance

Usage rights:

Creative commons

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.