| CPC G06F 18/2411 (2023.01) [G06N 20/00 (2019.01)] | 20 Claims |
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1. A system, comprising:
a processor; and
a memory communicably coupled to the processor, wherein the memory comprises processor-executable instructions which, when executed by the processor, cause the processor to:
receive an input dataset from a user via a chatbot, wherein the input dataset comprises user prompts;
determine a textual representation of the received input dataset on an n-gram data level by processing the received input dataset, wherein the n-gram data level comprises at least one of a unigram level, a bigram level and a trigram level and wherein the n-gram data level is determined by parsing each word of the user input dataset;
determine a model score for the n-gram level by applying the determined textual representation to a trained artificial intelligence-based regression model;
determine a best fit model and a unigram preparation data value for the n-gram level based on the determined model score, an n-gram preparation data value, and a type of n-gram using a trained classification model, wherein the best fit model is one of pretrained existing models and a dynamically trained n-gram model;
predict a bias score and an accuracy score for the input dataset by applying the determined textual representation and the input dataset onto the determined best fit model and using a trained clustering model;
generate a Prompt Inclusivity Index (PII) value based on the determined best fit model, the predicted bias score and the accuracy score, wherein the PII value indicates presence of bias data in the received input dataset; and
output the generated PII value to a user via a user interface of a user device.
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