윤리적 인공지능을 위한 비도덕 문장 판별 온톨로지 구축에 대한 연구 = Development of an Ontology for Identifying and Evaluating Immoral Sentences for Ethical Artificial Intelligence

다국어 초록 (Multilingual Abstract)

The previous attempts of developing ethical accreditation of data have been focused on filtering out immoral banned words, which involves the difficulty of implementation in terms of effectivity and accuracy. This study aims to present the “Immoral sentence identification ontology” as a standard for filtering out immoral contents in the process of classifying and organizing data using artificial intelligence technology. The immoral sentence identification ontology was designed to enable more systematic and accurate classification based on ethical theories by introducing various standards of moral judgment. We expect that this ontology will provide an effective standard for measurement of immorality in various everyday conversations and contribute to the establishment of an ecosystem where we can evaluate the degree of immorality of biased and unethical contents under broader circumstances.

참고문헌 (Reference)

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