All You Need is Sally-Anne: ToM in AI Strongly Supported After Surpassing Tests for 3-Year-Olds
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866915219371982848 |
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| author | Alon, Nitay Barnby, Joseph Mirsky, Reuth Sarkadi, Stefan |
| author_facet | Alon, Nitay Barnby, Joseph Mirsky, Reuth Sarkadi, Stefan |
| contents | Theory of Mind (ToM) is a hallmark of human cognition, allowing individuals to reason about others' beliefs and intentions. Engineers behind recent advances in Artificial Intelligence (AI) have claimed to demonstrate comparable capabilities. This paper presents a model that surpasses traditional ToM tests designed for 3-year-old children, providing strong support for the presence of ToM in AI systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_24215 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | All You Need is Sally-Anne: ToM in AI Strongly Supported After Surpassing Tests for 3-Year-Olds Alon, Nitay Barnby, Joseph Mirsky, Reuth Sarkadi, Stefan Artificial Intelligence Theory of Mind (ToM) is a hallmark of human cognition, allowing individuals to reason about others' beliefs and intentions. Engineers behind recent advances in Artificial Intelligence (AI) have claimed to demonstrate comparable capabilities. This paper presents a model that surpasses traditional ToM tests designed for 3-year-old children, providing strong support for the presence of ToM in AI systems. |
| title | All You Need is Sally-Anne: ToM in AI Strongly Supported After Surpassing Tests for 3-Year-Olds |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2503.24215 |