Quantifying the human-likeness of artificially intelligent agents using statistical methods and techniques

An apparatus comprising:

• a processor configured to:
• determine a first distribution based on a behavior associated with an artificial agent and a second distribution based on a behavior associated with a user;
• generate a similarity measurement by comparing the first distribution to the second distribution, wherein the similarity measurement quantifies a human-likeness of the behavior associated with the artificial agent;
• and
• responsive to the similarity measurement failing to meet a similarity threshold, modify the behavior of the artificial agent based on the similarity measurement.

A method comprising:

• determining a first distribution based on behavior associated with a first artificial agent and a second distribution based on behavior associated with a second artificial agent;
• generating a similarity measurement by comparing the first distribution to the second distribution, wherein the similarity measurement quantifies a similarity between the behavior of the first artificial agent and the behavior of the second artificial agent;
• and
• modifying, based on the similarity measurement, at least one of the behavior of the first artificial agent or the behavior of the second artificial agent.