Cooperative Speech, Semantic Competence, and AI
Fuente:
arXiv
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866913804098469888 |
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| author | Almotahari, Mahrad |
| author_facet | Almotahari, Mahrad |
| contents | Cooperative speech is purposive. From the speaker's perspective, one crucial purpose is the transmission of knowledge. Cooperative speakers care about getting things right for their conversational partners. This attitude is a kind of respect. Cooperative speech is an ideal form of communication because participants have respect for each other. And having respect within a cooperative enterprise is sufficient for a particular kind of moral standing: we ought to respect those who have respect for us. Respect demands reciprocity. I maintain that large language models aren't owed the kind of respect that partly constitutes a cooperative conversation. This implies that they aren't cooperative interlocutors, otherwise we would be obliged to reciprocate the attitude. Leveraging this conclusion, I argue that present-day LLMs are incapable of assertion and that this raises an overlooked doubt about their semantic competence. One upshot of this argument is that knowledge of meaning isn't just a subject for the cognitive psychologist. It's also a subject for the moral psychologist. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2504_16092 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cooperative Speech, Semantic Competence, and AI Almotahari, Mahrad Computers and Society Computation and Language Human-Computer Interaction Cooperative speech is purposive. From the speaker's perspective, one crucial purpose is the transmission of knowledge. Cooperative speakers care about getting things right for their conversational partners. This attitude is a kind of respect. Cooperative speech is an ideal form of communication because participants have respect for each other. And having respect within a cooperative enterprise is sufficient for a particular kind of moral standing: we ought to respect those who have respect for us. Respect demands reciprocity. I maintain that large language models aren't owed the kind of respect that partly constitutes a cooperative conversation. This implies that they aren't cooperative interlocutors, otherwise we would be obliged to reciprocate the attitude. Leveraging this conclusion, I argue that present-day LLMs are incapable of assertion and that this raises an overlooked doubt about their semantic competence. One upshot of this argument is that knowledge of meaning isn't just a subject for the cognitive psychologist. It's also a subject for the moral psychologist. |
| title | Cooperative Speech, Semantic Competence, and AI |
| topic | Computers and Society Computation and Language Human-Computer Interaction |
| url | https://arxiv.org/abs/2504.16092 |