As full AI-based automation remains out of reach in most real-world
applications, the focus has instead shifted to leveraging the strengths of both
human and AI agents, creating effective collaborative systems. The rapid
advances in this area have yielded increasingly more complex systems and
frameworks, while the nuance of their characterization has gotten more vague.
Similarly, the existing conceptual models no longer capture the elaborate
processes of these systems nor describe the entire scope of their collaboration
paradigms. In this paper, we propose a new unified set of dimensions through
which to analyze and describe human-AI systems. Our conceptual model is
centered around three high-level aspects - agency, interaction, and adaptation
- and is developed through a multi-step process. Firstly, an initial design
space is proposed by surveying the literature and consolidating existing
definitions and conceptual frameworks. Secondly, this model is iteratively
refined and validated by conducting semi-structured interviews with nine
researchers in this field. Lastly, to illustrate the applicability of our
design space, we utilize it to provide a structured description of selected
human-AI systems.

提出了一个新的统一维度的概念模型，围绕着机构、交互和调适三个高层面展开，通过文献调查和半结构化访谈的方法逐步完善和验证。最后，利用这个设计空间对选定的人工智能系统进行结构化描述。