Artificial Intelligence & Machine Learning / Open-source AI models

A data commons is a shared, publicly accessible repository of data—often statistical and macro-level—that can be combined with other datasets to generate new insights. In the context of open AI, data commons provide the high-quality, diverse datasets needed to train and improve AI models, while also promoting transparency, collaboration, and equitable access. This helps prevent data monopolies and supports the development of AI systems that serve the public interest.

Collaborative data governance ensures that data is managed according to ethical principles, with input from diverse stakeholders. This approach helps mitigate risks such as data misuse, privacy violations, and unequal access, while also fostering innovation by making high-quality data available to a broad range of researchers and developers. It is seen as essential for building AI systems that are transparent, accountable, and aligned with the public good.