Enhanced detection of violation conditions using large language models

A system, comprising:

• at least one processor;
• at least one memory storing computer readable instructions configured to cause the at least one processor to perform functions for creating and/or evaluating models, scenarios, lexicons, and/or policies with large language models (LLMs), wherein the functions include:
• receiving at least one alert from a conduct surveillance system, wherein the at least one alert represents a potential violation of a predetermined standard and wherein the conduct surveillance system generates alerts in response to analyzing electronic communications between persons;
• prompting a trained large language model (LLM) to generate an analysis of the at least one alert, wherein the analysis of the at least one alert comprises an explanation and a certainty score;
• and
• automatically actioning the at least one alert based on the certainty score.

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor of a computer, perform functions that include:

• receiving at least one alert from a conduct surveillance system, wherein the at least one alert represents a potential violation of a predetermined standard and wherein the conduct surveillance system generates alerts in response to analyzing electronic communications between persons;
• prompting a trained large language model (LLM) to generate an analysis of the at least one alert, wherein the analysis of the at least one alert comprises an explanation and a certainty score;
• and
• automatically actioning the at least one alert based on the certainty score.