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：意义建构是达成共识和决策等活动的重要前提步骤。当群体对大量信息进行意义建构时，他们的理解会从模糊逐渐演变为清晰。在此过程中，如果过早地呈现他人的见解，人们可能会在尚未充分验证的情况下，就被引导去关注这一特定视角。我们认为，类似现象也可能存在于AI辅助的意义建构中——当使用者的理解仍模糊且不成熟时，AI往往会成为过早呈现见解的一方。本文提出了在实践上利用AI辅助协作意义建构之前值得深思的三个问题，并讨论了可能导致使用者倾向于选择AI见解的可能原因。