Explaining AI decisions in in critical sectors like healthcare, autonomous vehicles, and
environmental monitoring is crucial for ensuring safety, trust, and transparency.
Regulatory frameworks and ethical guidelines increasingly demand AI transparency.
Balancing explainability with performance remains difficult. Increasing transparency often
leads to decreased accuracy.