Artificially intelligent system employing modularized and taxonomy-based classifications to generated and predict compliance-related content

An artificially intelligent system employing modularized and taxonomy-based classifications to generate compliance-related content, comprising:

• one or more databases;
• an electronic device coupled with a display, the electronic device having memory storing one or more programs executable by the electronic device, the one or more programs including instructions for:
• receiving regulatory compliance data from one or more sources of regulatory information;
• processing the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data, the taxonomy-based classifications comprising a plurality of modules and compliance requirements within each module;
• storing the taxonomy-based classifications of the regulatory compliance data in the one or more databases;
• processing the compliance requirements in a first module and a second module from the taxonomy-based classifications using natural language processing to generate a mapping of semantic relationship pairs between the first module and the second module;
• generating a similarity score for the first module and the second module using the mapping of semantic relationship pairs between the first and second modules;
• and
• generating, using the similarity scores, a set of compliance steps that covers all compliance requirements from the first and second modules, wherein the similarity score for the first module and the second module is adjusted by a factor reflecting how many distinct semantic relationship pairs are identified between the first module and the second module.

An artificially intelligent system employing modularized and taxonomy-based classifications to generate compliance-related content, comprising:

• one or more databases;
• an electronic device coupled with a display, the electronic device having memory storing one or more programs executable by the electronic device, the one or more programs including instructions for:
• receiving regulatory compliance data from one or more sources of regulatory information;
• processing the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data, the taxonomy-based classifications comprising a plurality of modules and compliance requirements within each module;
• storing the taxonomy-based classifications of the regulatory compliance data in the one or more databases;
• processing the compliance requirements in a first module and a second module from the taxonomy-based classifications using natural language processing to generate a mapping of semantic relationship pairs between the first module and the second module;
• generating a similarity score for the first module and the second module using the mapping of semantic relationship pairs between the first module and the second module;
• and
• generating, using the similarity scores, a set of compliance steps that covers all compliance requirements from the first module and the second module, wherein the similarity score for the first module and the second module is adjusted by a factor reflecting a determination that one or more of the semantic relationship pairs has been identified by the system in published enforcement actions.