CHS: Small: Envisioning and Prototyping Artificial Intelligence Product and Service Innovations with User Experience Designers

设计创新伴随着技术进步。飞利浦1962年发明的卡式录音机是一项技术进步。设计创新紧随其后，将盒式录音带录音和回放功能置于人们发现有用和有价值的新形式中。这些包括立体声音箱、汽车音响、随身听和家庭答录机。人工智能（AI）取得了许多技术进步，但设计创新不足。为了实现他们的创新能力，设计团队需要更好地了解人工智能可以做什么。这项研究将解决当前创新过程中的故障。它将开发新的分类法、工具和理论，以释放工业界和学术界设计师的创造性技能，为人工智能产品和服务的创新用途和形式设想和原型。研究团队将通过在线培训模块、本科和研究生课程、专业用户体验（UX）设计师课程，以及在以从业者为重点的活动中与专业人士一起举办的研讨会，传播新的人工智能设计创新资源的精炼版本。对于人工智能创新，研究团队将执行以下设计活动：(1)开发和评估人工智能功能的分类，同时解决算法偏见和隐私问题；(2)开发和评估人工智能系统输出如何呈现给潜在创新者的设计模式分类，包括可解释人工智能的方法；(3)通过与专业UX设计师进行原型设计研讨会，共同设计新的工具，用于线框图AI系统行为，记录AI概念，并与AI开发团队进行沟通；(4)通过对人工智能设计创新分类、工具和交流形式的实地评估，发展理论和设计含义。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Design innovations follow technical advances. Philips’ 1962 invention of the cassette recorder was a technical advance. Design innovations followed, placing cassette audio recording and playback capabilities into new forms people found useful and valuable. These included the boombox, car stereo, Walkman, and home answering machine. Artificial intelligence (AI) has achieved many technical advances, but insufficient design innovation. To enable their innovation capabilities, design teams need to better understanding what AI can do. This research will address current breakdowns in the innovation process. It will develop new taxonomies, tools, and theory—to unleash the creative skills of designers in industry and academia—for envisioning and prototyping innovative uses and forms for AI products and services. The research team will disseminate refined versions of the new AI design innovation resources through online training modules, undergraduate and graduate courses, courses for professional user experience (UX) designers, and workshops with professionals at practitioner-focused events.For AI innovation, the research team will perform these design activities: (1) develop and evaluate a taxonomy of AI capabilities, while addressing algorithmic bias and privacy; (2) develop and evaluate a taxonomy of design patterns for how AI system outputs are presented to potential innovators, including approaches to explainable AI; (3) co-design new tools for wireframing AI system behaviors, documenting AI concepts, and communicating with and across AI development teams, through prototyping workshops with professional UX designers; and (4) develop theory and design implications through field evaluations of the AI design innovation taxonomies, tools, and communicative forms.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.