February 9, 2021
title: ai4lam Metadata/Discovery WG Monthly Meeting
February 9, 2021#
9 AM California | 12 PM Washington DC | 5 PM UK | 6 PM Oslo & Paris
Topic: AI-LAM Metadata Working Group Time: This is a recurring meeting. Meet anytime Join from PC, Mac, Linux, iOS or Android: [https://stanford.zoom.us/j/91421044393?pwd=L0VLbnQ0WlE4SDV0MDY5SUhTQnVydz09](https://stanford.zoom.us/j/91421044393?pwd=L0VLbnQ0WlE4SDV0MDY5SUhTQnVydz09) Password: 306295 Or iPhone one-tap (US Toll): +18333021536,,91421044393# or +16507249799,,91421044393# Or Telephone: Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free) Meeting ID: 914 2104 4393 Password: 306295 International numbers available: https://stanford.zoom.us/u/aeoeCDrpd Meeting ID: 914 2104 4393 Password: 306295 SIP: email@example.com Password: 306295
_Name (institution) _
Tim Thompson (Yale)
Jeremy Nelson (Stanford)
David Lowe (Texas A&M)
**Notetaker (alpha by first name): **
Project Documents and Data#
Updates and announcements (5-10 mins.)
ai4lam Community Call (Jeremy)
Moving forward with metadata requirements for AI models and datasets (Tim)
March meeting: presentation and discussion with Kat Thornton on using Wikidata for Emulation as a Service Infrastructure.
Articles for reading and discussion (see Action Items, below).
Development of competency questions to guide data modeling.
Research existing ontologies.
Report on Knowledge Graphs for AI: Wikidata and Beyond (presentation by Markus Krötzsch)
CFP: _Cataloging & Classification Quarterly _on AI & subject classification
Jeremy: update on ai4lam Community Call
Training coming up in March/April
Jeremy gave an update on models metadata effort & possible metadata session @ next FF conference.
Next community call next week: focus on NER
Tim: Moving forward with metadata requirements for AI models and datasets
Next meeting in March will have a presentation by Kat Thornton on using Wikidata
March meeting - reading and discussion on articles listed under Action Item
Research questions ontologies
Tim: Knowledge Graphs for AI: Wikidata and Beyond by Markus Krötzsch
First 30 minutes overview of Wikidata and how to use
Last 15 minutes most useful
Issues around scalability, works at the current scale
AI applications use Knowledge Graphs, hard to tell if Google uses Wikidata in search results,
Machine learning vs. Machine Knowing
ML algorithms are just a small part of ML-base systems
Important AI systems have significant non-ML components
Even simple systems are hard to understand
David: Issues with participation in Challenge WG, on AI interest and activity
CNI group - approach for more, broader group of people with decision-making positions
Presentation on the challenge, big deal, push for more equitability AI
Challenge WG, challenge a big deal and needs to be thought-out. WG currently doing lit review, scope, and what is involved.
Single problem or work on a single data-set? Scoping, sponsorship
Reading list for March meeting:
Mitchell, M., Wu, S., Zaldivar, A., Barnes, P., Vasserman, L., Hutchinson, B., Spitzer, E., Raji, I. D., & Gebru, T. (2019). Model Cards for Model Reporting. Proceedings of the Conference on Fairness, Accountability, and Transparency, 220–229. https://doi.org/10.1145/3287560.3287596
Noy, N. F., & McGuinness, D. L. (n.d.). Ontology Development 101: A Guide to Creating Your First Ontology. 25. https://protege.stanford.edu/publications/ontology_development/ontology101.pdf
Thornton, K., Cochrane, E., Ledoux, T., Caron, B., & Wilson, C. (2017). Modeling the Domain of Digital Preservation in Wikidata. 10. https://phaidra.univie.ac.at/view/o:931058