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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.12225 |
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| _version_ | 1866914014174380032 |
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| author | Dewri, Rinku |
| author_facet | Dewri, Rinku |
| contents | This article explores the gaps that can manifest when using a large language model (LLM) to obtain simplified interpretations of data practices from a complex privacy policy. We exemplify these gaps to showcase issues in accuracy, completeness, clarity and representation, while advocating for continued research to realize an LLM's true potential in revolutionizing privacy management through personal assistants and automated compliance checking. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_12225 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents Dewri, Rinku Computation and Language Computers and Society Information Retrieval This article explores the gaps that can manifest when using a large language model (LLM) to obtain simplified interpretations of data practices from a complex privacy policy. We exemplify these gaps to showcase issues in accuracy, completeness, clarity and representation, while advocating for continued research to realize an LLM's true potential in revolutionizing privacy management through personal assistants and automated compliance checking. |
| title | Interpretation Gaps in LLM-Assisted Comprehension of Privacy Documents |
| topic | Computation and Language Computers and Society Information Retrieval |
| url | https://arxiv.org/abs/2503.12225 |