Digital equality

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.

Understanding the general public’s perception of online risks: beyond official definitions

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AI and inclusion: CTOs urgently need to take up the challenge

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French Sign Language Sets Sail with Signs@Work

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Une jeune femme inquiète se tient la tête entre les mains

Cyberbullying and unclear definitions: the research approach and introducing effective measures

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Digital identity: towards a European digital wallet?

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