Researchers and policy-makers have started creating frameworks and guidelines for building machine-learning (ML) pipelines with a human-centered lens. Machine Learning pipelines stand for all the necessary steps to develop ML systems (e.g., developing a predictive keyboard). On the other hand, a child-centered focus in developing ML systems has been recently gaining interest as children are becoming users of these products. These efforts dominantly focus on children's interaction with ML-based systems. However, from our experience, ML pipelines are yet to be adapted using a child-centered lens. In this paper, we list the questions we ask ourselves in adapting human-centered ML pipelines to child-centered ones. We also summarize two case studies of building end-to-end ML pipelines for children's products.
翻译：研究人员和决策者已开始创建使用人类中心视角的机器学习 (ML) 流程框架和指南。机器学习流程指开发 ML 系统所需的所有必要步骤 (例如，开发预测键盘)。另一方面，以儿童为中心进行机器学习系统开发的关注最近开始受到重视，因为儿童成为这些产品的用户。这些努力主要关注儿童与基于 ML 的系统的交互。然而，根据我们的经验，尚未使用以儿童为中心的视角来适应机器学习流程。在本文中，我们列出了我们在将以人类为中心的机器学习流程适应为以儿童为中心的流程时要考虑的问题。我们还总结了两个为儿童产品构建端到端机器学习流程的案例研究。
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