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Found 3 papers, 1 papers with code
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
A standardisation process is ongoing: several entities (e. g. ISO) and scholars are discussing how to design systems that are compliant with the forthcoming Act and explainability metrics play a significant role.
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
The European Union (EU) through the High-Level Expert Group on Artificial Intelligence (AI-HLEG) and the General Data Protection Regulation (GDPR) has recently posed an interesting challenge to the eXplainable AI (XAI) community, by demanding a more user-centred approach to explain Automated Decision-Making systems (ADMs).
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of qualifying the UN documents following the Sustainable Development Goals (SDGs) in order to monitor the progresses at the world level to fight poverty, discrimination, climate changes.
