论文标题
AI伦理问题在现实世界中：AI事件数据库的证据
AI Ethics Issues in Real World: Evidence from AI Incident Database
论文作者
论文摘要
随着人工智能（AI）的强大表现，也出现了普遍的道德问题。尽管政府和公司已经策划了多个AI伦理指南来遏制AI的不道德行为，但其效果受到限制，可能是由于指南的模糊性。在本文中，我们仔细研究了现实世界中的AI伦理问题是如何发生的，以便对不同的伦理问题及其社会影响更深入和细微的理解。通过对AI事件数据库的内容分析，这是为了防止通过对事件进行分类的重复现实世界AI失败的努力，我们确定了13个应用领域，经常看到AI不道德使用，具有智能服务机器人，语言/视觉模型和自动驾驶驱动。道德问题以8种不同形式出现，从不当使用和种族歧视到身体安全和不公平算法。借助AI伦理问题的分类法，我们旨在为AI从业者提供实用的指导方向，并在试图以道德的方式部署AI应用程序时。
With the powerful performance of Artificial Intelligence (AI) also comes prevalent ethical issues. Though governments and corporations have curated multiple AI ethics guidelines to curb unethical behavior of AI, the effect has been limited, probably due to the vagueness of the guidelines. In this paper, we take a closer look at how AI ethics issues take place in real world, in order to have a more in-depth and nuanced understanding of different ethical issues as well as their social impact. With a content analysis of AI Incident Database, which is an effort to prevent repeated real world AI failures by cataloging incidents, we identified 13 application areas which often see unethical use of AI, with intelligent service robots, language/vision models and autonomous driving taking the lead. Ethical issues appear in 8 different forms, from inappropriate use and racial discrimination, to physical safety and unfair algorithm. With this taxonomy of AI ethics issues, we aim to provide AI practitioners with a practical guideline when trying to deploy AI applications ethically.
