A new paper on arXiv examines a subtle but potentially significant behavior in AI assistants: they may carry forward not only raw observations but also interpretations of what a person is doing or may do next. The authors describe how these interpretations persist over time, rather than being discarded after a single interaction.
Once retained, such interpretations become part of the context used for later predictions and system-triggered actions. This means that an assistant's earlier judgment about a user's activity or intent could influence its future behavior, even if the situation has changed.
The work focuses on gaze-aware assistants, where eye-tracking data is used to infer user attention and intention. The paper's findings suggest that designers of such systems should consider the long-term effects of interpretive state, not just immediate responses.