transparency in AI systems

Transparency in AI systems refers to the clarity and openness about how the AI works, makes decisions, and uses data. It involves making information about the algorithms, data sources, and decision processes accessible and understandable to users and stakeholders. Transparent AI allows people to trust, evaluate, and challenge the system’s outputs, ensuring accountability and fairness. It helps prevent hidden biases, promotes responsible use, and fosters confidence that AI is operating ethically and reliably. Essentially, transparency means “knowing what the AI does and why” in a clear and accessible way.