本文对human-AI 协同（so-called Hybrid Intelligence Systems） 给出了一个分类方法。
本文具体的做法，是给出了hybrid intelligence systems分类时的不同维度。所以可以指导研究者和开发者从不同的维度出发进行研究和开发。
| 文献题目 | 去谷歌学术搜索 | ||||||||||
| The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems | |||||||||||
| 文献作者 | |||||||||||
| 文献发表年限 | 2019 | ||||||||||
| 文献关键字 | |||||||||||
| 摘要描述 | |||||||||||
| Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for developing socio-technological ensembles of humans and machines. Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other. Thus, the need for structured design knowledge for those systems arises. Following a taxonomy development method, this article provides three main contributions: First, we present a structured overview of interdisciplinary research on the role of humans in the machine learning pipeline. Second, we envision hybrid intelligence systems and conceptualize the relevant dimensions for system design for the first time. Finally, we offer useful guidance for system developers during the implementation of such applications. | |||||||||||
