Research

Explainability of artificial intelligence systems: what are the requirements and limits?

• Faced with the human and social challenges associated with machine learning techniques, it is essential to understand what explainability entails and its requirements, as well as the legal obligations and limitations surrounding it.
• Work on these subjects has taken on considerable importance given the human and social risks posed by the use of machine learning techniques, in particular deep neural networks or, more recently, large language models.
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Data and AI Ethics Council, guarantor of responsible AI at Orange

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A person checks their heart rate on a smartwatch while holding a smartphone. The setting is natural, with trees in the background.

Wireless Power Transfers: ERWPT breaks new ground with electric fields

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Crowdsourcing cacatoès

Smartphone data to map the outer atmosphere and monitor urban wildlife

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Institutional funding and interpersonal solidarity in Senegal

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Mobile money: an alternative to a bank account for small businesses in Senegal?

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Flooding: how machine learning can help save lives

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