The University of Tartu recently organized a webinar introducing CODICE, a counterfactual search framework. This event highlighted CODICE's role in enhancing search capabilities through explainable counterfactual analysis.
CODICE aligns with projects like TRUST AI by focusing on explainability and performance enhancement. Both initiatives aim to improve transparency in AI systems, with CODICE providing insights into search results and TRUST AI developing reliable AI tools. This alignment underscores the growing importance of explainable AI technologies across various applications.
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