乐胖代购免代理版

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The path to achieving this potential will involve human-AI interworking, as has been confirmed by numerous studies. However, it remains to be explored which direction this interworking of human agents and AI-enabled systems ought to take. To date, research still lacks a holistic understanding of the entangled interworking that characterizes human-AI hybrids, so-called because they form when human agents and AI-enabled systems closely collaborate. To enhance such understanding, this paper presents a taxonomy of human-AI hybrids, developed by reviewing the current literature as well as a sample of 101 human-AI hybrids. Leveraging weak sociomateriality as justificatory knowledge, this study provides a deeper understanding of the entanglement between human agents and AI-enabled systems. Furthermore, a cluster analysis is performed to derive archetypes of human-AI hybrids, identifying ideal\u2013typical occurrences of human-AI hybrids in practice. While the taxonomy creates a solid foundation for the understanding and analysis of human-AI hybrids, the archetypes illustrate the range of roles that AI-enabled systems can play in those interworking scenarios.<\/jats:p>","DOI":"10.1007\/s12599-023-00810-1","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T10:04:07Z","timestamp":1683885847000},"page":"623-641","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Disentangling Human-AI Hybrids"],"prefix":"10.1007","volume":"65","author":[{"given":"Lukas","family":"Fabri","sequence":"first","affiliation":[]},{"given":"Bj\u00f6rn","family":"H\u00e4ckel","sequence":"additional","affiliation":[]},{"given":"Anna Maria","family":"Oberl\u00e4nder","sequence":"additional","affiliation":[]},{"given":"Marius","family":"Rieg","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Stohr","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"810_CR1","doi-asserted-by":"publisher","first-page":"52138","DOI":"10.1109\/ACCESS.2018.2870052","volume":"6","author":"A Adadi","year":"2018","unstructured":"Adadi A, Berrada M (2018) Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). 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