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With Artificial Intelligence (AI) and Machine Learning (ML) developing rapidly into usable systems already embedded in our everyday lives, the opportunities for involving “intelligent” agents in a natural design dialogue are many. By the term “dialogue” we mean any of the different types of encounters that occur during the process of design. Dialogues could be verbal, visual, physical, interactive, or even tacit. This theme track presents work studying various forms of dialogue between human and artificial actors in design processes. Of the five papers constituting this theme track, two focus on the influence AI can have on creative outcomes when collaborating with humans. Specifically, Yun et al. (2022) report on the use of AI as a generator of creative stimuli, while van der Burg et al. (2022) explore stimuli in the way an AI interprets an image of an artefact created by the designer. In a slight contrast, Simeone et al. (2022) examine human-AI collaboration from a process-level standpoint; specifically, the ability of AI to support certain aspects of the design process such as convergent and divergent thinking. A focus on roles and representations rounds off the last two papers in this theme track. Figoli et al. (2022) examine the roles that AI assumes — or is perceived to assume — in human-AI collaborations, while Kun et al. (2022) explore the potential for AI in representing a diverse cross-section of a community.