CSR

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How to avoid replicating bias and human error in LLMs

AI systems can replicate human bias. This has become amplified with the rise of large language models. This article explores how to assess and mitigate this bias to allow for fairer systems.
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Two people are seated in front of a computer, discussing a project. Spools of thread are visible on the table.
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Understanding the general public’s perception of online risks: beyond official definitions

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Networks and IT | Go in-depth

Recommendation L.1480 Quantifies All Usage-Related CO2 Impacts, Including the Rebound Effect

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Impact télétravail gaz à effet de serre - Impact teleworking greenhouse gas
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Impact of the use of a digital teleworking solution on greenhouse gas emissions: case study of the Orange Atalante site in Rennes

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GettyImages - vagues de chaleur et technologie - heatwaves and technology
Digital culture | Discover

Heatwaves: how technology is affected by soaring temperatures

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Livebox 6 et Livebox 7 côte à côte - Livebox 6 and Livebox 7 - photo Natacha Mojaisky side by side
Networks and IT | Discover

XGS-PON: The New Generation of Very High Broadband with the Livebox 7

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Research | Go in-depth

Limiting the Carbon Footprint of AI

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