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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.

AI in Medicine: Uses and Consequences on Radiology Work

The progressive proliferation of AI raises many questions about its consequences on work activities: how is it deployed and used within organizations? What are the specific consequences for work? In the area of radiology, in contrast to the discourse which is often binary (positive or negative), the consequences can vary. While there appear to be benefits to using AI in tense organizational contexts (heavy workload or staff shortage), its use entails significant risks such as excessive trust in systems or, paradoxically, an increase in workload, while also requiring the reconfiguration, to a greater or lesser extent, of the work of staff (radiologists and secretaries) not only at individual level but also at collective level.
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Social Media: Both Strengthening and Weakening Family Bonds

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Keeping watch on the carbon footprint of machine learning

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Machine learning to combat ocean plastic pollution

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Green and Local Energy Exchanges and Optimizing Network Consumption

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GettyImages - Hexa-X-II

Hexa-X-II: the European flagship project leading the way towards a sustainable 6G

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The support work of the digital transformation

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