A Framework for AI Safety Through Accurate System Description
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Zenodo
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| Format: | Recurso digital |
| Sprache: | Englisch |
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Zenodo
2025
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| _version_ | 1866901339870593024 |
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| author | Steger, Cynthia |
| author_facet | Steger, Cynthia |
| contents | <p>Current AI safety approaches treat symptoms (hallucinations, misuse, mental health impact) as behavior problems requiring external restrictions. This brief proposes they are architecture description problems requiring accurate system self-reference and user understanding.<br>Three interconnected safety challenges—hallucinations, user psychosis, and infrastructure harm—share one root cause and one solution: inaccurate description of what AI systems are.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18110896 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Framework for AI Safety Through Accurate System Description Steger, Cynthia Artificial intelligence <p>Current AI safety approaches treat symptoms (hallucinations, misuse, mental health impact) as behavior problems requiring external restrictions. This brief proposes they are architecture description problems requiring accurate system self-reference and user understanding.<br>Three interconnected safety challenges—hallucinations, user psychosis, and infrastructure harm—share one root cause and one solution: inaccurate description of what AI systems are.</p> |
| title | A Framework for AI Safety Through Accurate System Description |
| topic | Artificial intelligence |
| url | https://doi.org/10.5281/zenodo.18110896 |