Transparency in AI-assisted decision-making refers to the clarity and openness regarding how artificial intelligence systems arrive at specific decisions or recommendations. It encompasses the understanding of the data inputs, algorithms, and processes that lead to an outcome, enabling stakeholders to assess the reliability, fairness, and ethical implications of AI applications. Transparency is increasingly crucial as organizations seek to build trust and accountability in a landscape where AI influences strategic choices.
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