Hello,
Next week, AI4LAM - an international, participatory community focused on advancing the use of artificial intelligence in, for and by libraries, archives and museums - is hosting a fully remote event with lectures, discussions, and hands-on sessions to suit all time zones.
The AI4LAM 2022 Virtual Event<https://sites.google.com/view/ai4lam/ai4lam-2022-virtual-event-registration> begins on Wednesday, 30 November, with our conference opening at 19:00 UTC. We'll be joined by Margaret Mitchell from Huggingface and Sayash Kapoor from Princeton University to deliver our keynote addresses. Margaret Mitchell will be discussing BigScience: A community effort to create a large open language model, and Sayash Kapoor will be delivering a talk on Reproducibility Crisis in Machine Learning Based Science.
Thursday, 1 December will see us hosting at least two community discussions, first from 7:00-9:00 UTC on Applying AI in the Smaller Research Library, led by members Andrew Cox, Emmanuelle Bermes and Sam Thomas in association with IFLA AI SIG. Then from 16:00-18:00 UTC, members of the Teaching & Learning Working Group - Claudia Engler, Daniel van Strien, and Mike Trinza - will be leading a discussion on Teaching and Learning AI for GLAM.
Finally, Friday, 2 December, we'll end the conference with some hands-on workshops and an opportunity to dive in and learn more through discussion, instruction, and experimentation. At 9:00-11:00 UTC, Giles Bergel is leading Introduction to Computer Vision. From 16:00-17:00 UTC, Claudia Engler will be facilitation a workshop on Integration of Data Sheets into GLAM Practice. And for our final session from 20:00-21:00 UTC, Abigail Potter and Meghan Ferriter will be introducing A Proposed Framework for Operationalising AI in LAMs.
You can find full details for all of our sessions on ai4lam.org<http://ai4lam.org/>, including local times, topics for discussion, and learning goals. All of the sessions are available to be booked individually, and we strongly recommend booking now on our registration page<https://sites.google.com/view/ai4lam/ai4lam-2022-virtual-event-registration> to avoid disappointment. We can't wait to see you online!
Best wishes,
Deirdre Sullivan
On behalf of the AI4LAM Secretariat
We work flexibly - so while it suits me to email now, I do not expect a response or action outside of your own working hours. My typical working pattern is Mon-Fri, 8:00-16:00.
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Deirdre Sullivan
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Business Support Officer, Digital Scholarship Training Initiatives
Digital Research Team
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