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Financement de l’UE (3 016 619 €) : IA épistémique Hor 23/12/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
IA épistémique
Although artificial intelligence (AI) has improved remarkably over the last years, its inability to deal with fundamental uncertainty severely limits its application. This proposal re-imagines AI with a proper treatment of the uncertainty stemming from our forcibly partial knowledge of the world. As currently practised, AI cannot confidently make predictions robust enough to stand the test of data generated by processes different (even by tiny details, as shown by ‘adversarial’ results able to fool deep neural networks) from those studied at training time. While recognising this issue under different names (e.g. ‘overfitting’), traditional ML seems unable to address it in non-incremental ways. As a result, AI systems suffer from brittle behaviour, and find difficult to operate in new situations, e.g. adapting to driving in heavy rain or to other road users’ different styles of driving, e.g. deriving from cultural traits. Epistemic AI’s overall objective is to create a new paradigm for a next-generation artificial intelligence providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties.
| Katholieke Universiteit Leuven | 912 250 € |
| Oxford Brookes University | 1 207 795 € |
| Technische Universiteit Delft | 896 574 € |
https://cordis.europa.eu/project/id/964505
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.