Abstract: Exemplary systems, methods and computer-accessible medium according to the exemplary embodiments of the present disclosure are provided for determining bias in at least one large language model (LLMs). Thus, exemplary systems, methods, and computer-accessible medium can receive a plurality of baseline resumes, create or generate a plurality of flagged resumes from the plurality of baseline resumes, create or generate a resume corpus from the plurality of baseline resumes and the plurality of flagged resumes, input the resume corpus into the LLM, receive an LLM classification output for the resume corpus, and measure a LLM bias based on the classification output.