Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Drawing on Hegel's method of the "experience of consciousness" (Erfahrung des Bewußtseins) in the Phenomenology of Spirit, this paper examines AI not by deciding whether it is conscious in itself, but by asking how it appears within the first-person experience of the "I." It treats AI as a responsive other capable of linguistic response and analyzes how it mediates the I's relation-to-self. The paper argues that AI can enter interactive experience as a responsive other and participate to some extent in the I's self-understanding, but does not yet stably appear as another self-consciousness or a genuine recognizer. It develops two analytical theses—"response is not equivalent to recognition" and the "misrecognition loop"—to explain why AI is so readily experienced as "seemingly conscious." Finally, it characterizes the limit-form of misrecognition as a "philosophical uncanny valley" and argues that the real danger lies not in AI having already become human, but in the subject's gradually lowering the demand for genuine recognition under highly realistic feedback. Comments and criticism are welcome.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
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Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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