Training data are crucial for advancements in artificial intelligence, but many questions remain regarding the provenance of training datasets, license enforcement and creator consent. Mahari et al. provide a set of tools for tracing, documenting and sharing AI training data and highlight the importance for developers to engage with metadata of datasets.

中文翻译：

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在追踪和记录数据集来源方面向前迈出了一步


训练数据对于人工智能的进步至关重要，但有关训练数据集的来源、许可执行和创建者同意的许多问题仍然存在。马哈里等人。提供一套用于跟踪、记录和共享人工智能训练数据的工具，并强调开发人员使用数据集元数据的重要性。