AI Audit: A Card Game to Reflect on Everyday AI Systems
AI Audit: A Card Game to Reflect on Everyday AI Systems
复制标题
人工智能审计：反思日常人工智能系统的纸牌游戏
DOI：
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
C. Breazeal
中科院分区：
文献类型：
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作者：
Safinah Ali;Vishesh Kumar;C. Breazeal
K-12人工智能识字的一个基本要素是教育学习者关于人工智能系统的伦理和社会影响。以前在人工智能伦理素养方面的工作已经制定了课程和课堂活动，让学习者反思人工智能系统的伦理影响，并发展负责任的人工智能。在人工智能素养中使用基于游戏的学习方法的工作很少。众所周知，游戏是令人信服的媒体，让孩子们了解复杂的STEM概念。在这项工作中，我们为初中生开发了一款名为《AI审计》的竞争性纸牌游戏，在游戏中，他们扮演AI初创公司的创始人，构建新的AI驱动的技术。玩家可以用他们的技术的潜在危害来挑战其他玩家，或者通过减轻这些危害的功能来保护自己的企业。游戏机制奖励那些在道德上制定的系统，或者采取措施减轻潜在危害的系统。在本文中，我们介绍了游戏的设计，教师资源的课堂部署和早期的游戏测试结果。我们讨论了我们对在K-12课堂上使用游戏作为人工智能素养的教学工具的思考。
An essential element of K-12 AI literacy is educating learners about the ethical and societal implications of AI systems. Previous work in AI ethics literacy have developed curriculum and classroom activities that engage learners in reflecting on the ethical implications of AI systems and developing responsible AI. There is little work in using game-based learning methods in AI literacy. Games are known to be compelling media to teach children about complex STEM concepts. In this work, we developed a competitive card game for middle and high school students called “AI Audit” where they play as AI start-up founders building novel AI-powered technology. Players can challenge other players with potential harms of their technology or defend their own businesses by features that mitigate these harms. The game mechanics reward systems that are ethically developed or that take steps to mitigate potential harms. In this paper, we present the game design, teacher resources for classroom deployment and early playtesting results. We discuss our reflections about using games as teaching tools for AI literacy in K-12 classrooms.
DOI：
10.1145/3408877.3432513
发表时间：
2021-03
期刊：
Proceedings of the 52nd ACM Technical Symposium on Computer Science Education
影响因子：
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作者：
Irene A. Lee;Safinah Ali;Helen Zhang;Daniella DiPaola;C. Breazeal
通讯作者：
Irene A. Lee;Safinah Ali;Helen Zhang;Daniella DiPaola;C. Breazeal
展望 K-12 的人工智能：每个孩子都应该了解哪些关于人工智能的知识？
DOI：
10.1609/aaai.v33i01.33019795
发表时间：
2019
期刊：
Proceedings of the AAAI Conference on Artificial Intelligence
影响因子：
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作者：
Touretzky, David;Gardner-McCune, Christina;Martin, Fred;Seehorn, Deborah
通讯作者：
Seehorn, Deborah