본연구는 인공지능(AI)이라고 부르는 용어가 의미하는 의인화 경향성이 수사적 표현을 적용한다. AI는데이터를 통해 사회적 도덕을 통계적으로 재현하고, 알고리즘에 의해 체계적 윤리를 타율적으로 실행할 수는 있으나, ‘나’라는 자의식을 전제하는 양심은 존재론적으로 부재하다. 연구 결과, AI 의인화는 도덕, 윤리, 양심 세축을 모두 왜곡한다. (1) AI의통계적 편향을 도덕적 의도로 오인하고, (2) 기계의 논리적 연산을 윤리적 숙고로 착각하며, (3) 결정적으로 양심 없는 AI에책임과 판단을 외주화함으로써 책임의 공백과 양심의 위축을 초래한다. 게다 가 AI ‘감사 인사 사례’ 분석을 통해, 이러한 주체성 왜곡이 환경 윤리를 훼손하는 비용을 발생함을 입증한다. 이에 연구자는 AI 시대 경영 리더십의 핵심 과제는 효율성의 극대화는 물론이며, AI를정교 한도구로 재규정하고 최종 책임을 지는 양심의 주체로서 인간의 역할을 재확립하는 것임을 제언한다

This study reveals that the tendency toward anthropomorphism implied by the term “Artificial Intelligence (AI)” extends beyond mere rhetorical expression, constituting a significant “Category Error” that distorts the normative subjectivity humans ought to uphold. As AI technology advances, anthropomorphism of AI has become prevalent not only in media and public discourse but also in management practices. This phenomenon leads to a fundamental misunderstanding of AI's instrumental nature and obscures the locus of responsibility for ethical issues arising from algorithms. To identify the multi-layered dangers of such anthropomorphism, this study establishes and applies the “Tri-Axis Framework of Human Norms,” which distinguishes between Morality, Ethics, and Conscience, as a core analytical tool. While AI can statistically reproduce social morality through data and heteronomously execute systematic ethics via algorithms, conscience —which presupposes self-consciousness (the “I”)—is ontologically absent in AI. The results demonstrate that AI anthropomorphism distorts all three axes. Specifically, it causes humans to: (1) misinterpret AI’s statistical bias as moral intent, (2) mistake mechanical logical calculation for ethical deliberation, and (3) outsource judgment to conscience-free AI, thereby leading to a “Responsibility Gap” and the “Atrophy of Conscience.” Furthermore, through an analysis of the “Thank-you Greeting” case, this study provides empirical evidence that such distortion of subjectivity incurs measurable costs that undermine environmental ethics. Consequently, this study suggests that the core task of management leadership in the AI era is not the maximization of efficiency, but rather the redefinition of AI as a sophisticated tool and the re-establishment of the human role as the subject of conscience who bears final responsibility.