인공지능 윤리에 대한 예비 도덕 교사의 인식 유형 연구 - Q 방법론 접근 - = A study on pre-service ethics teachers’ perception types of AI ethics

다국어 초록 (Multilingual Abstract)

Once the 2022 revision of ethics curriculum is introduced to school, pre-service ethics teachers are expected to play an important role for AI ethics education through school curriculum. Thus, this study investigates pre-service ethics teachers’ perception about AI ethics by applying Q-methodology which has an advantage in understanding the types of subjective perceptions. During the data collection, 30 participants were asked to sort the Q sample cards (with 30 sentences on AI ethics) according to normal distribution on a 9 point scale based on the degrees of agreement of disagreement. As a result of Q-sorting, participants’ perceptions were categorized into four distinct types: ‘Type 1: Warning against the dangers of AI’, ‘Type 2: Emphasizing prerequisites for AI ethics’, ‘Type 3: Focusing on privacy protection’, ‘Type 4: Seeking for coexistence with AI’. These four types revealed differences in the prospects for the future of AI society, awareness of the possibility of cooperation and coexistence with AI, and macro/micro perspectives on AI ethics. After considering the pros and cons of each type, we discuss scholarly and educational implications of the findings.