Build an AI Trust Check for Work Decisions
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, Sources, and Evidence
Practice a simple process for tracing AI-generated claims, checking sources, and spotting weak evidence.
Decide What the Output Has Earned
Use a repeatable trust-check workflow to decide what to use, revise, question, verify, or reject before acting.
Why this topic matters
AI can make unfinished thinking look polished. For professionals who use AI to draft, summarize, research, plan, or make work decisions, a confident answer is not enough. In 30 minutes, you’ll learn a practical AI Trust Check to decide what to use, revise, verify, question, or reject before AI shapes real work.
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
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Human-AI Triangulation Lab: Use AI Without Outsourcing Judgment
Danny Glassmann, Ph.D.
20+ yrs higher ed leadership · Former Dean Ohio/SF State · PhD · AI + belonging
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