Have we talked about this paper yet on bsky? It's really good, and ought to be cited widely by people working at the humanities-AI interface.

TLDR: If AI is going to be applied to fuzzy human problems, social science measurement theory becomes essential. #MLSky

So-called “institutional neutrality” was pushed by folks in coalition with the ghouls currently gutting science and higher ed. Their goal was always for universities to neutrally (and silently) watch as they were systematically dismantled by people who hate verifiable knowledge.

Remember this @neuripsconf.bsky.social workshop paper? We spent the past month writing a newer, better, longer version!!! You can find it online here: arxiv.org/abs/2502.00561

Submissions are open for our workshop on data and benchmarking practices in ML! Accepting both full-length submissions (up to 10 pages) and tiny papers submissions (3-5 pages)

📣Announcing MLDPR 2025, an @iclr-conf.bsky.social workshop on data and benchmarking practices in ML! 🔗 mldpr2025.com

📭accepting submissions related to:
▫️data curation
▫️FAIR datasets
▫️ML data repositories
▫️reproducibility
▫️holistic benchmarking

Evaluating Generative AI Systems is a Social Science Measurement Challenge: arxiv.org/abs/2411.10939

TL;DR: The ML community would benefit from learning from and drawing on the social sciences when evaluating GenAI systems.

Applying to the PhD program at U Mich School of Information? Submit your application materials to our feedback program—led by current Ph.D. students who want to support applicants from underrepresented backgrounds in higher ed
📅 Materials accepted until Nov 11
🔗 Link: bit.ly/UMSI-Review-...