Documenting ML Datasets for Responsible Reuse | AI Data Chats скачать в хорошем качестве

Documenting ML Datasets for Responsible Reuse | AI Data Chats

In this episode of AI Data Chats, we are joined by Elena Simperl, professor of computer science at King's College London and director of research at the Open Data Institute. Elena discusses the importance of better tools and documentation resources for data, such as Croissant, a community-developed metadata vocabulary for ML datasets. Croissant’s machine-readable format enables important outcomes in practice like data interoperability, conditional access and responsible AI at scale. 🥐 Learn more about Elena’s work on Croissant at the ML Commons project page, where you can also apply to join the working group: https://mlcommons.org/working-groups/... If you have any comments or would like to suggest a speaker, reach out to us at [email protected].