Natural language understanding intent adjustment

A computer-implemented method comprising:

• receiving, from a first device, first input data representing a first natural language user input;
• determining the first natural language user input corresponds to a first natural language understanding (NLU) intent, wherein execution of the first NLU intent includes outputting a first content type;
• determining authorization is required to execute the first NLU intent;
• based at least in part on determining the authorization is required, determining a second NLU intent to be executed instead of the first NLU intent, wherein execution of the second NLU intent includes outputting the first content type;
• generating first output data indicating the second NLU intent is an alternative to the first NLU intent;
• causing the first device to output the first output data;
• and
• performing processing corresponding to the second NLU intent.

A computing system comprising:

• at least one processor;
• and
• at least one memory comprising instructions that, when executed by the at least one processor, cause the computing system to:
• receive, from a first device, first input data representing a first natural language user input;
• determine the first natural language user input corresponds to a first natural language understanding (NLU) intent, wherein execution of the first NLU intent includes outputting a first content type;
• determine authorization is required to execute the first NLU intent;
• based at least in part on determining the authorization is required, determine a second NLU intent to be executed instead of the first NLU intent, wherein execution of the second NLU intent includes outputting the first content type;
• generate first output data indicating the second NLU intent is an alternative to the first NLU intent;
• cause the first device to output the first output data;
• and
• perform processing corresponding to the second NLU intent.