Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design
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arXiv
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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908787279921152 |
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| author | Musi, Elena Kokciyan, Nadin Al-Khatib, Khalid Ceolin, Davide Dietz, Emmanuelle Gutekunst, Klara Hautli-Janisz, Annette Yañez, Cristian Manuel Santibañez Schneider, Jodi Scholz, Jonas Steging, Cor Visser, Jacky Wachsmuth, Henning |
| author_facet | Musi, Elena Kokciyan, Nadin Al-Khatib, Khalid Ceolin, Davide Dietz, Emmanuelle Gutekunst, Klara Hautli-Janisz, Annette Yañez, Cristian Manuel Santibañez Schneider, Jodi Scholz, Jonas Steging, Cor Visser, Jacky Wachsmuth, Henning |
| contents | In this position paper, we advocate for the development of conversational technology that is inherently designed to support and facilitate argumentative processes. We argue that, at present, large language models (LLMs) are inadequate for this purpose, and we propose an ideal technology design aimed at enhancing argumentative skills. This involves re-framing LLMs as tools to exercise our critical thinking skills rather than replacing them. We introduce the concept of \textit{reasonable parrots} that embody the fundamental principles of relevance, responsibility, and freedom, and that interact through argumentative dialogical moves. These principles and moves arise out of millennia of work in argumentation theory and should serve as the starting point for LLM-based technology that incorporates basic principles of argumentation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_05298 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design Musi, Elena Kokciyan, Nadin Al-Khatib, Khalid Ceolin, Davide Dietz, Emmanuelle Gutekunst, Klara Hautli-Janisz, Annette Yañez, Cristian Manuel Santibañez Schneider, Jodi Scholz, Jonas Steging, Cor Visser, Jacky Wachsmuth, Henning Computation and Language Multiagent Systems In this position paper, we advocate for the development of conversational technology that is inherently designed to support and facilitate argumentative processes. We argue that, at present, large language models (LLMs) are inadequate for this purpose, and we propose an ideal technology design aimed at enhancing argumentative skills. This involves re-framing LLMs as tools to exercise our critical thinking skills rather than replacing them. We introduce the concept of \textit{reasonable parrots} that embody the fundamental principles of relevance, responsibility, and freedom, and that interact through argumentative dialogical moves. These principles and moves arise out of millennia of work in argumentation theory and should serve as the starting point for LLM-based technology that incorporates basic principles of argumentation. |
| title | Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design |
| topic | Computation and Language Multiagent Systems |
| url | https://arxiv.org/abs/2505.05298 |