#explainability
Live, measured metrics for the hashtag #explainability from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #explainability
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 2026-10-29 09:12 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 2026-10-29 09:12 UTCNo related tags with measured usage found for #explainability.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-29 09:12 UTCEverything below is measured over the latest 40 public posts (spanning ~25270 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (37) · Russian (2) · German (1)
Avg boosts / post: 0.6
Top of the latest posts
Deadline for poster submission to the @NFDI4DS AIKG-SD 2025 #SummerSchool has been extended! Join a vibrant #AI and #DataScience community, early-stage researchers to experts from diverse academic disciplines, all welcome. Discussion includ
National Deep Inference Fabric https://ndif.us/ #AI #research #explainability
"Artificial intelligence (AI) is increasingly being used to obtain knowledge and understanding (...) However, are humans really justified in basing their beliefs on AI outputs? Can they claim to know things based on AI? If so, what is the j
What “explainability” means
WikipediaWithin artificial intelligence (AI), explainable AI (XAI), generally overlapping with interpretable AI, interpretable machine learning and explainable machine learning (XML), is a field of research that explores methods that provide humans with the ability to exercise intellectual oversight over AI algorithms. The main focus is on the reasoning behind the decisions or predictions made by the AI algorithms, to make them more understandable and transparent. This addresses the need for users to kno
“Explainable artificial intelligence” on Wikipedia (CC BY-SA) →#explainability across platforms
every network with a public tag surfaceFollow #explainability straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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/explainability