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Author/Affiliation: Hanna DeSimoneOpen AccessArticle
12 Pages, 376 KB 
Advancements in Explainable Artificial Intelligence for Enhanced Transparency and Interpretability across Business Applications
Abstract:
This manuscript offers an in-depth analysis of Explainable Artificial Intelligence (XAI), em- phasizing its crucial role in developing transparent and ethically compliant AI systems. It traces AI’s evolution from basic algorithms to complex systems capable of autonomous de- cisions with self-explanation. The paper distinguishes between explainability—making AI decision processes understandable to humans—and interpretability, which provides…
Read More(This article belongs to the SP16 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2024) & Section Artificial Intelligence in Computer Science (CAI))