Cited by 21Ethics and Social Impacts of AIAI in Service InteractionsExplainable Artificial Intelligence (XAI)

Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations

Bang, Junseong, Kim, Sineae, Nam, Jang Won, Yang, Dong-Geun·2021·2021 International Conference on Platform Technology and Service (PlatCon)

Abstract

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.

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Crossref · 10.1109/platcon53246.2021.9680760

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Authors
Bang, J., Kim, S., Nam, J. W., & Yang, D.-G.
Affiliations
  • Electronics and Telecommunications Research Institute (KR)
  • Ewha Womans University (KR)
  • Korea University of Science and Technology (KR)
Venue
2021 International Conference on Platform Technology and Service (PlatCon)
Publisher
IEEE
Published
2021-08-23
Pages
1-5
OpenAlex
W4285376698
Cited by
21
References
19
Citations by year
2026: 2 · 2025: 4 · 2024: 8 · 2023: 6 · 2022: 1
FWCI
3.39
Type
conference paper
Language
en
Open access
closed
Locations
  • International Conference on Platform Technology and Service (publishedVersion)
  • International Conference on Platform Technology and Service
Funders
Korean National Police Agency
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Keywords
AI ethics, data bias, chatbots, fairness, transparency, explainability, accountability, privacy, artificial intelligence control, unintended consequences of AI

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