Sensemaking is an important preceding step for activities like consensus building and decision-making. When groups of people make sense of large amounts of information, their understanding gradually evolves from vague to clear. During this process when reaching a conclusion is still premature, if people are presented with others' insights, they may be directed to focus on that specific perspective without adequate verification. We argue that similar phenomena may also exist in AI-assisted sensemaking, in which AI will usually be the one that presents insight prematurely when users' understandings are still vague and ill-formed. In this paper, we raised three questions that are worth deliberation before exploiting AI to assist in collaborative sensemaking in practice, and discussed possible reasons that may lead users to opt for insights from AI.

翻译：意义建构（Sensemaking）是达成共识与决策等活动的重要前序步骤。当群体处理大量信息时，其理解会从模糊逐渐走向清晰。在这一尚未形成结论的过程中，若人们被呈现他人的见解，可能会未经充分验证便聚焦于特定视角。我们认为，AI辅助意义建构中也可能存在类似现象——当用户的理解仍模糊不定时，AI往往会率先提出不够成熟的见解。本文在将AI真正应用于协作式意义建构实践之前，提出了三个值得深思的问题，并探讨了可能导致用户选择采纳AI见解的可能原因。