Explainability
Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. It helps characterize model accuracy, fairness, transparency and outcomes in AI-powered decision making.
Our other news that may interest you
Save the Date: DALI4US Final Conference on 11–12 November 2026 in Luxembourg
Under the theme “Young Minds, Real Data: Empowering Schools for an AI-Driven World”, the international final conference of the Erasmus+ proj…
AI Training Series in Education in the Greater Region: Kick-off Event in Luxembourg
How can the education sector prepare for the challenges of artificial intelligence? As part of the Interreg Engagement GR programme, IFEN is…
fobizz Mobile App now available in Luxembourg
The fobizz Mobile App is now available in Luxembourg for iOS and Android, giving teachers direct mobile access to the tools they already use…
European survey on the assessment of digital skills in education
DigiClass Projects invites all secondary education schools and teachers to participate in a survey conducted as part of the Erasmus+ DigiCLA…