Combining Human-centred Explainability and Explainable AI
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909681451008000 |
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| author | Koch, Janin Rey, Vitor Fortes |
| author_facet | Koch, Janin Rey, Vitor Fortes |
| contents | This position paper looks at differences between the current understandings of human-centered explainability and explainability AI. We discuss current ideas in both fields, as well as the differences and opportunities we discovered. As an example of combining both, we will present preliminary work on a new algebraic machine learning approach. We are excited to continue discussing design opportunities for human-centered explainability (HCx) and xAI with the broader HCxAI community. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_06751 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Combining Human-centred Explainability and Explainable AI Koch, Janin Rey, Vitor Fortes Human-Computer Interaction This position paper looks at differences between the current understandings of human-centered explainability and explainability AI. We discuss current ideas in both fields, as well as the differences and opportunities we discovered. As an example of combining both, we will present preliminary work on a new algebraic machine learning approach. We are excited to continue discussing design opportunities for human-centered explainability (HCx) and xAI with the broader HCxAI community. |
| title | Combining Human-centred Explainability and Explainable AI |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2507.06751 |