Contextual comparison of semantics in conditions of different policies

A computer-implemented method, comprising:

• training, by a system operatively coupled to a processor, a machine learning model to compare contextually, semantics of conditions in policy data of different policies based on features of entitiesity;
• and
• employing, by the system, the machine learning model to provide a contextual explanation of how a first condition in first policy data of a first policy is semantically different from a second condition in second policy data of a second policy based on a feature of the at least one entity of the entities.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• train an artificial intelligence model to, contextually compare semantics of conditions in policy data of different policies based on features of entities;
• and
• employ the artificial intelligence model to provide a contextual explanation of how a first condition in first policy data of a first policy is semantically different from a second condition in second policy data of a second policy based on a feature of the at least one entity of the entities.