（重新）定义机器学习开发中的专业知识
(Re)Defining Expertise in Machine Learning Development
摘要：
领域专家通常以各种方式参与机器学习系统的开发，例如数据汇集和系统性能评估。与此同时，谁算“专家”，什么构成“专门知识”，并不总是明确界定。在这个项目中，我们对机器学习研究进行了系统的文献综述，以了解1）专业知识定义和识别的基础，以及2）专家在ML开发中扮演的角色。我们的目标是生成一个高级分类，以突出如何识别专家并参与ML研究的限制和机会。
英文摘要：
Domain experts are often engaged in the development of machine learning systems in a variety of ways, such as in data collection and evaluation of system performance. At the same time, who counts as an 'expert' and what constitutes 'expertise' is not always explicitly defined. In this project, we conduct a systematic literature review of machine learning research to understand 1) the bases on which expertise is defined and recognized and 2) the roles experts play in ML development. Our goal is to produce a high-level taxonomy to highlight limits and opportunities in how experts are identified and engaged in ML research.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
