Xiaoming Liu Highlights the Role of Explainable AI in Building Trustworthy and Privacy-Preserving Systems
By financialcontent · Source: financialcontent · 2026-06-29
A practical review of explainable AI examines how transparency and interpretability improve trust in high-stakes applications. By introducing explainability frameworks, privacy-preserving methods, and human-centered evaluation principles, the study advances more accountable, secure, and trustworthy AI systems for real-world decision-making.
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