본 논문에서는 대규모 언어 모델을 사용하는 인공지능(AI) 기반 챗봇과 인간 사이의 대화 인터랙션 과정에서 발생할 수 있는 편향성을 검사하고 평가하는 것이 가능한 프레임워크 개발 방법에 대해 논의한다. 이를 위해 먼저 대규모 언어 모델을 사용하는 AI 챗봇의 특징과 한계에 대해 알아보고, AI 챗봇과 인간 사이의 대화 인터랙션에서의 편향성 완화에 대한 필요성에 대해 서술한다. AI 챗봇의 편향성 평가를 위해, 편향의 요인들에 대해 살펴보고 편향성 측정을 위해 시스템적으로 구현이 가능한 수학적 개념 모델을 제안한다. 이를 바탕으로 AI 시스템에 구현이 가능한 편향성 평가 프레임워크를 설계하고 샘플 문장들로 이를 검증한다.
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