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In a constantly changing world, it is essential for researchers to anticipate the technological developments taking shape and to reflect on the fundamental changes in terms of uses and economic models, and more broadly on changes in society. Research lights our way forward, helping to shape a completely digital but nonetheless entirely human future.

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For a Contextual Approach to AI Explainability

Explainability has become a fundamental principle of AI ethics. As well as sparking debates and presenting technical challenges, the application of this principle is not self-evident as it depends on the context in which a given AI system is being used.
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In-Vehicle Commerce, a white paper co-authored by Orange and Worldline

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The challenge: Brain-computer interfaces that work for everyone

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Machine learning shows fresh potential in urban renewal

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Money laundering: a novel approach with new algorithms to combat smurfing

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Osmo: artificial intelligence learns to recognize smells

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Limiting the Carbon Footprint of AI

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