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학술대회 Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations
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저자
방준성, 김신애, 남장원, 양동근
발행일
202108
출처
International Conference on Platform Technology and Service (PlatCon) 2021, pp.47-51
DOI
https://dx.doi.org/10.1109/PlatCon53246.2021.9680760
협약과제
21IR1800, 대화형 치안 지식 서비스 폴봇 개발, 방준성
초록
AI technology is being introduced into various public and private service domains, transforming existing computing systems or creating new ones. While AI technologies can provide benefits to humans and society, the unexpected consequences (e.g., malfunctions) of AI systems can cause social losses. For this reason, research on ethical design for the development of AI-based systems is becoming important. In this paper, from existing studies on AI ethics, general guidelines such as transparency, explainability, predictability, accountability, fairness, privacy, and control for the ethical design of AI systems are reviewed. And, based on the ethical design guidelines, we discuss ethical design to reduce the negative effects of biased data and unethical dialogues in AI-based conversational chatbots.
키워드
Conversational chatbot, Ethical design, Framework
KSP 제안 키워드
Negative effects, Public and private, based system, computing systems, design guidelines