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E-pi

Financiado
Epistemic AI
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 unc... 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. ver más
28/02/2026
OXFORD BROOKES UNI...
3M€
Duración del proyecto: 62 meses Fecha Inicio: 2020-12-17
Fecha Fin: 2026-02-28

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2020-12-17
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
FETOPEN-01-2018-2019-2020: FET-Open Challenging Current Thinking
Cerrada hace 6 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
OXFORD BROOKES UNIVERSITY No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5