人工智能(AI)的进化使得人类和计算机器之间的界限变得越来越模糊。在人机共生, 中存在更多相互交织的关系的情况下，人工智能生成信息的概念变得很难定义,，因为此类信息不是来自孤立的人类或机器,，而是来自它们的相互塑造。有时人工智能会代替人类, 自动化任务; 在其他情况下，它会扩展人类的能力, 增强他们的能力。因此,一个更相关的问题不仅在于人工智能是否参与了,，还在于它如何参与。一般来说, AI 所承担的角色通常在输入提示, 中隐式或显式指定,，但当生成的内容单独可用时，, 变得不那么明显或完全不可观察。一旦脱离对话上下文,，功能角色可能不再可追踪。这项研究考虑了追踪人工智能在自然语言生成中所发挥的功能作用的问题。提出了一种方法来推断提示,指定的潜在角色，在概率生成过程中将此角色嵌入到内容中，然后从结果文本中恢复人工智能参与的本质。实验是在一个代表性场景下进行的，其中人工智能充当编辑人类编写内容的辅助代理，或者充当从简短概念生成新内容的创意代理。实验结果支持所提出的方法在角色, 抗干扰鲁棒性和语言质量保持之间的区分方面的有效性。我们预计这项研究可能有助于未来关于人工智能伦理的研究，即人工智能是否被公平、透明、适当地使用,。
The evolution of artificial intelligence (AI) has rendered the boundary between humanity and computational machinery increasingly ambiguous. In the presence of more interwoven relationships within human-machine symbiosis, the very notion of AI-generated information becomes difficult to define, as such information arises not from either humans or machines in isolation, but from their mutual shaping. At times AI acts in place of the human, automating the task; at others it extends what the human can do, augmenting their capability. Therefore, a more pertinent question lies not merely in whether AI has participated, but in how it has participated. In general, the role assumed by AI is often specified, either implicitly or explicitly, in the input prompt, yet becomes less apparent or altogether unobservable when the generated content alone is available. Once detached from the dialogue context, the functional role may no longer be traceable. This study considers the problem of tracing the functional role played by AI in natural language generation. A methodology is proposed to infer the latent role specified by the prompt, embed this role into the content during the probabilistic generation process and subsequently recover the nature of AI participation from the resulting text. Experimentation is conducted under a representative scenario in which AI acts either as an assistive agent that edits human-written content or as a creative agent that generates new content from a brief concept. The experimental results support the validity of the proposed methodology in terms of discrimination between roles, robustness against perturbations and preservation of linguistic quality. We envision that this study may contribute to future research on the ethics of AI with regard to whether AI has been used fairly, transparently and appropriately.
科目: 人工智能 (cs.AI); 计算与语言 (cs.CL); 人机交互 (cs.HC)
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Human-Computer Interaction (cs.HC)