减少有偏见的数据和不道德的对话的负面影响的道德聊天机器人设计

J. Bang, S. Kim, Jang Won Nam, Dong-Geun Yang
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引用次数: 6

摘要

人工智能技术正在被引入各种公共和私人服务领域,改变现有的计算系统或创建新的计算系统。虽然人工智能技术可以为人类和社会带来好处,但人工智能系统的意外后果(例如故障)可能会造成社会损失。因此,研究基于人工智能的系统开发的伦理设计变得非常重要。本文从现有的人工智能伦理研究中,回顾了人工智能系统伦理设计的一般准则,如透明度、可解释性、可预测性、问责性、公平性、隐私性和控制。并且,基于道德设计准则,我们讨论了道德设计,以减少基于人工智能的会话聊天机器人中有偏见的数据和不道德对话的负面影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ethical Chatbot Design for Reducing Negative Effects of Biased Data and Unethical Conversations
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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