The principle that AI systems should be open and clear about their operations, decisions, and data usage.
The proactive publication and communication of AI system details - data provenance, model architectures, training parameters, performance metrics, and known limitations - to build stakeholder trust and facilitate oversight.
A public health agency publishes an interactive dashboard detailing its COVID-19 outbreak-prediction model: data sources, training dates, algorithm version, error margins, and key assumptions. Researchers and policymakers can download the code and data, fostering collaborative improvement.
