VQV Signal

RESEARCH WATCH TECHNICAL

TRAILSCon 2027 set for March 3–4 at George Washington University; proposals due Nov 20

According to a post on X by @trails_ai, the NSF- and NIST-funded Institute for Trustworthy AI in Law & Society says TRAILSCon returns March 3–4, 2027, at George Washington University in Washington, DC. The event's theme is "Agency & Agentic AI: Building Trust Through Research & Practice." Proposals for breakout sessions on AI trust, governance and data provenance are due Friday, November 20, the same day early registration opens.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-09T17:45:00+00:00 Detected 2026-11-10T02:17:25+00:00
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According to a post on X by @trails_ai, the NSF- and NIST-funded Institute for Trustworthy AI in Law & Society says TRAILSCon returns March 3–4, 2027, at George Washington University in Washington, DC. The event's theme is "Agency & Agentic AI: Building Trust Through Research & Practice." Proposals for breakout sessions on AI trust, governance and data provenance are due Friday, November 20, the same day early registration opens.

AI-assisted summary based on the listed source.

The NSF- and NIST-funded Institute for Trustworthy AI in Law & Society says TRAILSCon returns Mar 3–4, 2027 at GW in Washington, DC, with the theme "Agency & Agentic AI: Building Trust Through Research & Practice." Proposals for breakout sessions on AI trust, governance and data provenance are due Fri, Nov 20, the...

Researchers and practitioners working on agentic AI trust, governance and data provenance have a set deadline to submit breakout session proposals. Early registration opens on the same day, so anyone planning to attend or present should track November 20.

Signal Strength 89% Technical label WATCH Public Interest 25 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 34 Curiosity Score 16 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).