Explainable AI: Meta-Reasoning for Trustworthy Systems

Explainable AI is evolving — using meta-reasoning techniques so AI can 'reason about reasoning' to enhance transparency and trust.

Trustworthy AI increasingly relies on meta-reasoning — the ability to interpret how AI arrives at conclusions, for accountability.

The New Frontier in XAI

Researchers are applying meta-reasoning frameworks that enable AI systems to explain their reasoning processes in human-interpretable terms.

AI transparency isn’t just technical — it's ethical. Explainable systems must align with social values and regulatory norms.

The surge in XAI research reflects industry and academic urgency around developing systems that are both powerful and interpretable.