Free Lesson

Build an AI Trust Check for Work Decisions

Part of The AI-Powered Professional

Hosted by Danny Glassmann, Ph.D.

Thu, Jul 9, 2026

5:00 PM UTC (30 minutes)

Virtual (Zoom)

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What you'll learn

Spot Risky AI Assumptions

Learn how to identify what an AI-generated answer assumes, omits, or overstates before you use it in real work.

Check Claims and Sources

Practice a simple process for tracing AI-generated claims, checking sources, and spotting weak evidence.

Make Better Human-Led Decisions

Use a repeatable trust-check workflow to decide what to use, revise, reject, or verify before acting.

Why this topic matters

For professionals who use AI to draft, summarize, research, plan, or make decisions at work, a polished answer is not always enough. AI can sound confident and useful while still missing context, weak evidence, or important assumptions. In 30 minutes, you’ll learn a practical AI Trust Check for spotting assumptions, checking claims and sources, and deciding what to use, revise, reject, or verify.

You'll learn from

Danny Glassmann, Ph.D.

Former Dean · Founder · AI Leadership

Dr. Danny Glassmann is a former Dean of Students and Associate Vice President with 20+ years of higher education leadership experience, a PhD, a B.S. in Computer Science, and certification in Azure AI Fundamentals. Through Wired for Belonging™ and HeartWired™, he helps leaders use AI with more discernment, humanity, and care while building more sustainable ways of working and leading.

Previously at The Ohio State University

Ohio State University
University Of Georgia (UGA)
Microsoft
See all products from Dr. Danny G.

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