S.A.F.E. Artificial intelligence
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SeriesTI Complexity in Economics Seminars
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Speaker(s)Paolo Giudici (University of Pavia and European University Institute, Italy)
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FieldData Science and Econometrics
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LocationUniversity of Amsterdam, Roeterseilandcampus, E5.22
Amsterdam -
Date and time
November 20, 2024
12:00 - 13:00
Abstract
The
growth of Artificial Intelligence applications requires to develop risk
management models that can balance opportunities with risks. We
contribute to the development of AI risk management models proposing a
set of integrated statistical metrics that can measure the
Sustainability, Accuracy, Fairness and Explainability of any Artificial
Intelligence application. Our metrics are consistent with each other, as
they are all derived from a common underlying statistical methodology:
the Lorenz curve. Our experimental results indicates that they are are
easy to interpret, and that they can be applied to any machine learning
method, regardless of the underlying data and model.