Explainable AI aims to make AI's decision-making processes clear, but the current landscape often lacks transparency.
This opacity in AI systems raises critical issues.
In areas like criminal justice or healthcare, where decisions have profound impacts, the inability to understand AI logic leads to trust issues and ethical dilemmas.
It also hinders the identification and correction of biases within AI models, potentially reinforcing systemic inequalities.
The quest for transparency in AI is not just technical but also deeply intertwined with social and ethical dimensions.
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