Towards Human-AI Mutual Learning: A New Research Paradigm
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914788268834816 |
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| author | Wang, Xiaomei Chen, Xiaoyu |
| author_facet | Wang, Xiaomei Chen, Xiaoyu |
| contents | This paper describes a new research paradigm for studying human-AI collaboration, named "human-AI mutual learning", defined as the process where humans and AI agents preserve, exchange, and improve knowledge during human-AI collaboration. We describe relevant methodologies, motivations, domain examples, benefits, challenges, and future research agenda under this paradigm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_04687 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards Human-AI Mutual Learning: A New Research Paradigm Wang, Xiaomei Chen, Xiaoyu Human-Computer Interaction Artificial Intelligence This paper describes a new research paradigm for studying human-AI collaboration, named "human-AI mutual learning", defined as the process where humans and AI agents preserve, exchange, and improve knowledge during human-AI collaboration. We describe relevant methodologies, motivations, domain examples, benefits, challenges, and future research agenda under this paradigm. |
| title | Towards Human-AI Mutual Learning: A New Research Paradigm |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2405.04687 |