Despite the widespread use of artificial intelligence (AI), designing user experiences (UX) for AI-powered systems remains challenging. UX designers face hurdles understanding AI technologies, such as pre-trained language models, as design materials. This limits their ability to ideate and make decisions about whether, where, and how to use AI. To address this problem, we bridge the literature on AI design and AI transparency to explore whether and how frameworks for transparent model reporting can support design ideation with pre-trained models. By interviewing 23 UX practitioners, we find that practitioners frequently work with pre-trained models, but lack support for UX-led ideation. Through a scenario-based design task, we identify common goals that designers seek model understanding for and pinpoint their model transparency information needs. Our study highlights the pivotal role that UX designers can play in Responsible AI and calls for supporting their understanding of AI limitations through model transparency and interrogation.
翻译:尽管广泛使用人工智能(AI),但为AI动力系统设计用户经验(UX)仍具有挑战性。UX设计师在理解AI技术(如预先培训的语言模型,作为设计材料)方面面临障碍,这限制了他们就是否、在何处和如何使用AI进行思考和作出决定的能力。为了解决这一问题,我们将有关AI设计和AI透明度的文献连接起来,以探讨透明模式报告框架是否以及如何支持预先培训的模式的设计理念。通过采访23名UX执行人员,我们发现实践者经常与预先培训的模型合作,但缺乏对UX主导理念的支持。通过基于情景的设计任务,我们确定了设计者寻求模型理解并确定其模型透明度信息需求的共同目标。我们的研究强调了UX设计者在负责任的AI中可以发挥的关键作用,并呼吁通过模型透明度和询问支持他们对AI局限性的理解。