Evidence is the tangible data and information that reveals the performance of the model in addition to its reliability, fairness, and adherence to industry regulations or standards. Evidence serves as a measure of success and is necessary to build trust and demonstrate its trustworthiness. With evidence, it is possible to build more sophisticated and reliable solutions that leverage the potential of AI. Without evidence, the landscape could be transformed by diminishing trust in AI systems and the help they can provide.
