March 3, 2026Open Access

Enhancing Transparency and Trust in Artificial Intelligence Systems Using Explainable AI (XAI) Techniques

Key Points

Enhancing trust in artificial intelligence systems is crucial for wider adoption and effective use.
Teaching programs on explainable AI techniques are essential for improving understanding among users.
Assessment of AI transparency reveals significant gaps in knowledge and implementation in current systems.
Exploring the role of teaching programs in AI can lead to better frameworks for transparency and user engagement.

Abstract

Explore the article titled Enhancing Transparency and Trust in Artificial Intelligence Systems Using Explainable AI (XAI) Techniques from IJIRT Volume 12, Issue no. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Kajal Sinha (Fri,) studied this question.

www.synapsesocial.com/papers/69a75f56c6e9836116a2aa58 — DOI: https://doi.org/10.64643/ijirtv12i7-191723-459

Enhancing Transparency and Trust in Artificial Intelligence Systems Using Explainable AI (XAI) Techniques

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