Our colleague Thomas Padilla, now at the Center for Research Libraries, is doing a survey as part of a new project called Ground Truths which in is looking at the very important issue of using cultural heritage data in machine learning contexts (there are real problems with well-labelled training datasets, for example). If you follow this link, there's more background on the project before you start the survey form. See

Ground Truths: Surveying GLAM Data for AI

* estimated completion time 5-15 minutes * Cultural heritage organizations are developing collections as data for a variety of purposes, including for use in artificial intelligence (AI) systems. The potential for community-wide benefit is significant, yet it is challenging to move forward in part because data are difficult to find. In an effort to make finding and reusing cultural heritage data for AI easier, Thomas Padilla (Center for Research Libraries), Elizabeth Lorang (University of Neb...

I think this should develop some very interesting data for the community, and as it's compiled I'll share pointers here. Also, hopefully, we can get an update on this work as it moves forward during one of our upcoming CNI meetings.

Clifford Lynch Director, CNI