Is AI shifting from message conduit to active conversation participant?

The scoping analysis of AI-Mediated Interpersonal Communication (AIMIC) names one change as its clearest finding: "a shift in AI's role as a passive channel to an active communication participant." The corpus is 52 full papers curated under PRISMA from HCI literature published January 2016 to May 2026. The discussion says that despite the growth in publication volume, the clearest trend is qualitative, "a qualitative shift in what AI is asked to do," and it presents this as one of "broader shifts in how HCI researchers conceive of AI's role."

The evidence in the excerpt for the "passive channel" pole is about authorship. "Pre-2023 systems predominantly relied on rule-based agents and classifier pipelines to extract, surface, or lightly reformat information that a human still authored and sent." The AI sits between two people, but the message stays theirs. The abstract gives the reason the question is now pressing: ChatGPT, the rapid growth of large foundation models, and AI agent research. The introduction sets the human-to-human frame the AI enters, the CSCW time-and-space matrix (dyadic or group, in-person or distributed, synchronous or asynchronous) and the familiar difficulties of information asymmetry, missing shared background, and inclusivity in the "many-mind problem."

Against the library, the paper's two labels are coarser than the five-level spectrum in Does machine agency exist on a spectrum rather than binary?, which argues that agency is not binary. The excerpt does not say whether the review coded intermediate levels, so the two read as compatible only as a summary of direction. "Passive" also means something different here than in Why can't conversational AI agents take the initiative?. That note means an agent that never takes initiative in a conversation with a user. This paper means a channel that leaves authorship with the humans. On my reading, an AI could be an active participant in the second sense while still passive in the first, so the two findings measure different things and do not conflict. The design tension in How can proactive agents avoid feeling intrusive to users? is where an active participant in someone else's conversation would land, but the excerpt says nothing about intrusion or civility.

The excerpt is cut off before it says what post-2023 systems do, so "active communication participant" is named but not defined here. It gives no breakdown of the 52 papers by year or type, and nothing on the outcomes and benefits (RQ3) or challenges (RQ4) the review reports. It also says nothing on whether active-participant systems work better or are wanted. The shift it describes is in how HCI researchers frame AI's role, which is a claim about a literature, not about deployed products. At that strength, the safe statement is that HCI work on AI in human-to-human talk has moved from treating AI as a conduit for human-authored messages toward treating it as a participant in the exchange.