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RESEARCH WATCH TECHNICAL

Free Rocky Mountain workshop on trustworthy AI set for Nov 4–5 at CU Boulder

According to a post on X by @NECLabsAmerica, the Rocky Mountain Workshop on Trustworthy and Responsible AI will take place November 4–5 at CU Boulder. NEC Labs' Haifeng Chen will open the research day with a keynote on trustworthy AI-driven software transformation, and Boeing's Dragos Margineantu will keynote the hands-on practice day. The free workshop lists more than 35 speakers from CU Boulder, UIUC, UT Austin, Adobe, AWS, Intel and others. Industry guests are asked to register with a company email.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-27T21:45:00+00:00 Detected 2026-10-28T01:28:49+00:00
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According to a post on X by @NECLabsAmerica, the Rocky Mountain Workshop on Trustworthy and Responsible AI will take place November 4–5 at CU Boulder. NEC Labs' Haifeng Chen will open the research day with a keynote on trustworthy AI-driven software transformation, and Boeing's Dragos Margineantu will keynote the hands-on practice day. The free workshop lists more than 35 speakers from CU Boulder, UIUC, UT Austin, Adobe, AWS, Intel and others. Industry guests are asked to register with a company email.

AI-assisted summary based on the listed source.

NEC Labs' Haifeng Chen opens the research day with a keynote on trustworthy AI-driven software transformation, and Boeing's Dragos Margineantu keynotes the hands-on practice day. The free workshop has 35+ speakers from CU Boulder, UIUC, UT Austin, Adobe, AWS, Intel and others; industry guests register with a...

Researchers, engineers and companies working on AI systems get a no-cost chance to hear from academic and industry teams on trustworthy and responsible AI. The lineup mixes research talks with practice-focused sessions, so it may suit people who want applied methods as well as theory. Anyone planning to attend should check the registration rules, since the source does not give registration deadlines.

Signal Strength 78% Technical label WATCH Public Interest 20 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 10 Curiosity Score 0 Shareability Score 41

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