10. Transparency

Publisher: The European Commission’s High-Level Expert Group on Artificial Intelligence

Transparency concerns the reduction of information asymmetry. Explainability – as a form of transparency – entails the capability to describe, inspect and reproduce the mechanisms through which AI systems make decisions and learn to adapt to their environments, as well as the provenance and dynamics of the data that is used and created by the system. Being explicit and open about choices and decisions concerning data sources, development processes, and stakeholders should be required from all models that use human data or affect human beings or can have other morally significant impact.