#MLFairness
Live, measured metrics for the hashtag #MLFairness from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mlfairness
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 22:23 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 22:23 UTCNo related tags with measured usage found for #mlfairness.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 22:23 UTCEverything below is measured over the latest 3 public posts (spanning ~15787 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0.3
Top of the latest posts
I am happy to say that our paper was accepted at #neurips2022 and we released not 1, not 2, but 6 companion datasets!🎉 The paper, "Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation" presents a suite of data
🔥⏲️ Fudge Sunday "Who Said The AI ML Was Fair?" A look at at fairness in A.I. and M.L. and F.A.I.R. data. #fairness #fairnessmatters #aifairness #mlfairness #aiops #mlops #critique #fairdata #artificialintelligence #ai #aiforgood #aiforall
@sim @djsumdog @mystik @SpudsRudeEye Having said that, we wonder whether any mainstream dietitian, many years ago, would have challenged the #monsantoConsensus, which was so heavily guarded at that time. People who said their was something
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/mlfairness