Opacity

A description of some deep learning systems [that] take an input and provide an output, but the calculations that occur in between are not easy for humans to interpret.

The nature of some AI techniques whereby the inferential operations are complex, hidden, or otherwise opaque to their developers and end users in terms of providing an understanding of how classifications, recommendations, or actions are generated and what overall performance will be.

When one or more features of an AI system, such as processes, the provenance of datasets, functions, output or behaviour are unavailable or incomprehensible to all stakeholders – usually an antonym for transparency.