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Communication Dans Un Congrès Année : 2022

The Design of Trustworthy AI System: a Deep Look into the Transparency of Data, Models, and Decisions

Résumé

Transparency is a cornerstone of trustworthy AI, a key mandate of the European approach to AI and a crosssectional principle of FUTURE-AI guidelines in health imaging. In this talk, we will critically overview the strategies to guarantee an appropriate level of transparency, mainly in terms of data provenance and usage, AI system development and functioning interpretation. Current approaches, hindrances, and opportunities will be highlighted and discussed, along with the strategies adopted in the EU H2020 ProCAncer-I project.
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hal-03808631 , version 1 (11-10-2022)

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  • HAL Id : hal-03808631 , version 1

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Sara Colantonio. The Design of Trustworthy AI System: a Deep Look into the Transparency of Data, Models, and Decisions. IEEE EMBC - MiniSymposium - Trustworthy AI in Cancer Imaging Resear, Jul 2022, Glasgow, United Kingdom. ⟨hal-03808631⟩
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