Transparency in AI refers to the clarity or openness of its inner workings. It involves making sure that the decisions made by AI systems can be easily understood by humans. This could include details about how an AI model was trained, what inputs it uses, how it processes those inputs, and how it arrives at a particular output or decision. Transparency also includes clarity about any biases in the AI system, and clear guidelines or principles on how the AI is to be used ethically. It helps in building trust and holds developers or users accountable.