The National Institute of Standards and Technology (NIST) has issued a draft report on Trust and Artificial Intelligence.
“If the AI system has a high level of technical trustworthiness, and the values of the trustworthiness characteristics are perceived to be good enough for the context of use, and especially the risk inherent in that context, then the likelihood of AI user trust increases. It is this trust, based on user perceptions, that will be necessary of any human-AI collaboration.”
“Like any other human cognitive process, trust is complex and highly contextual, but by researching trust factors we stand to enable use and acceptance of this promising technology by large parts of the population.”
“AI system designers and engineers have identified several technical characteristics that are necessary for system trustworthiness. There are, at the time of this writing, nine identified characteristics that define AI system trustworthiness: Accuracy, Reliability, Resiliency, Objectivity, Security, Explainability, Safety, Accountability, and Privacy”