Artificial Intelligence & Machine Learning / Open-source AI models
Weekly Artificial Intelligence & Machine Learning / Open-source AI models Insights
Stay ahead with our expertly curated weekly insights on the latest trends, developments, and news in Artificial Intelligence & Machine Learning - Open-source AI models.
Recent Articles
Sort Options:

Data Commons Can Save Open AI
2023 marks a pivotal year for open source AI, shifting focus from risk to innovation. Despite advancements in models, the data landscape faces stagnation. Experts advocate for collaborative data governance to enhance transparency and prevent a potential data winter.
What is a data commons and how does it relate to open AI?
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.
Why is collaborative data governance important for open AI?
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.
20 May, 2025
The New Stack