Documenting ML Datasets for Responsible Reuse

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.

Speakers

Jennifer Ding

Solutions Engineer @ Encord

Elena Simperl

Professor of Computer Science @ King's College London, Director of Research at the Open Data Institute