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Interacting with Thoughtful AI

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arxiv 2502.18676 v2 pith:AFXNYAZP submitted 2025-02-25 cs.HC

Xingyu Bruce Liu , Haijun Xia , Xiang Anthony Chen This is my paper · ORCID
classification cs.HC
keywords interactionthoughtfulhuman-aienvisionparadigmalignmentargueautonomously
verification ladder T0 review T1 audit T2 compute T3 formal
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We envision the concept of Thoughtful AI, a new human-AI interaction paradigm in which the AI behaves as a continuously thinking entity. Unlike conventional AI systems that operate on a turn-based, input-output model, Thoughtful AI autonomously generates, develops, and communicates its evolving thought process throughout an interaction. In this position paper, we argue that this thoughtfulness unlocks new possibilities for human-AI interaction by enabling proactive AI behavior, facilitating continuous cognitive alignment with users, and fostering more dynamic interaction experiences. We outline the conceptual foundations of Thoughtful AI, illustrate its potential through example projects, and envision how this paradigm can transform human-AI interaction in the future.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models

    cs.HC 2025-06 conditional novelty 6.0 of 10

    Interactive Reasoning, instantiated as Hippo, lets users view and edit an LLM's chain-of-thought as a tree, and a 16-person study reports improved perceived control, sense-making, and assumption awareness.

  2. Interaction as Intelligence: Deep Research With Human-AI Partnership

    cs.CL 2025-07 reject novelty 5.0 of 10

    A human-in-the-loop deep research system with transparent, interruptible interaction is claimed to outperform commercial baselines, but the evidence is weakened by small samples and biased instructions.

  3. Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop

    cs.HC 2025-08 conditional novelty 4.0 of 10

    A synthesis of the CHI 2025 workshop maps research and design opportunities for understanding, protecting, and augmenting human cognition with generative AI.

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