| NOTAS: | "This is a ground-breaking report that explores the concept of explainability in AI-based systems from two perspectives: algorithmic outcome-based (‘local explainability’) and system-wide (‘global explainability’). As outlined in the report, the distinction between "local" and "global" explanations is crucial and should be addressed in the upcoming EU AI proposal. By embracing a user-centric design methodology, policymakers can ensure that explanations relating to AI-based outcomes and systems are meaningful and relevant, meeting the diverse needs and requirements of users of AI-based systems and people affected by their outcomes." |
