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首页> 外文会议>International Conference on HCI in Business, Government and Organizations;International Conference on Human-Computer Interaction >Privacy, Ethics, Trust, and UX Challenges as Reflected in Google's People and AI Guidebook
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Privacy, Ethics, Trust, and UX Challenges as Reflected in Google's People and AI Guidebook

机译：谷歌的人民和AI指南中反映的隐私，道德，信任和UX挑战

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摘要

Google's People and AI Guidebook (Guidebook) was accessed online and an analysis performed of text associated with privacy, ethics, trust, usability, user experience, and intuitive interaction. Significant privacy, ethical, and trust issues related to the management of training data, AI human-like interfaces, and feedback were identified. In addition, novel components of UX design related to AI were revealed: (1) deciding if AI adds unique value, (2) assessing the need for automation vs. augmentation, (3) designing & evaluating the reward function, (4) considering precision & recall tradeoffs, and (5) monitoring negative impacts of the product's decisions. The analysis presented in this paper also reveals greatly increased complexity and a dynamic process in assessing/providing usability/user experience/intuitive interaction; preliminary novel measurement items are proposed. Future research could seek to develop new or modify existing instruments for measuring privacy, usability, user experience, and intuitive interaction of AI technology and the integration of the novel concepts with current concepts. A design-based approach may also be indicated.
机译：谷歌的人员和AI指南（指南）在线访问，对与隐私，道德，信任，可用性，用户体验和直观互动相关的文本进行了分析。确定了与培训数据管理，AI人类界面和反馈相关的重要隐私，道德和信任问题。此外，揭示了与AI相关的UX设计的新组件：（1）决定AI是否增加了独特价值，（2）评估自动化的需求与增强，（3）设计和评估奖励功能，（4）考虑精密和召回权衡，（5）监测产品决策的负面影响。本文提出的分析还揭示了评估/提供可用性/用户体验/直观互动的复杂性和动态过程。提出了初步新颖的测量项目。未来的研究可以寻求开发新的或修改现有仪器，以衡量AI技术的隐私，可用性，用户体验和直观互动以及与当前概念的新颖概念集成。还可以指示基于设计的方法。

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