Thursday, June 18, 2026, 1:00 p.m. - 2:00 p.m. EDT
As AI systems become more capable, they start to feel different from the tools we’re used to. They speak fluently. They sound confident. Sometimes they even seem so thoughtful or intentional that it’s natural to wonder if they are conscious or just glorified calculators.
This webinar is about that uncomfortable middle ground. We'll look at how people often misunderstand systems that don't fit into the usual categories. We'll also look at why being too sure about what AI is can be just as risky as not thinking about it at all.
Why this Webinar is Different
Using intuitive ideas from quantum mechanics and lessons from history, Dr. Dan Grahn looks at why some systems resist clean explanations, why confidence can be misleading, and what it means to approach AI with more humility and care.
This session is meant to help us think, talk, and interact with AI better as it becomes more visible in our work and lives.
By the end of this thought-provoking webinar, participants will be able to:
- Describe why AI systems can feel mind-like without being minds
- Recognize how confidence (human or artificial) can create false certainty
- Use simple ideas from quantum mechanics to think about ambiguous, hard to classify systems
- Understand why history cautions us against rushing to conclusions about AI
- Adopt a more thoughtful, humble posture toward AI systems that don’t fit traditional categories
No technical background in AI, physics, or philosophy is required.
Who Should Attend
- People who regularly interact with AI tools like ChatGPT or copilots
- Leaders and decision makers shaping how AI is discussed, adopted, or governed
- Designers, analysts, writers, and researchers working alongside AI systems
- Anyone curious about how to think responsibly about AI without hype, fear, or false certainty
About the presenter:
Dr. Dan Grahn is a seasoned AI researcher, cybersecurity expert, and educator with a proven track record of bridging the gap between cutting-edge technology and practical applications. His career spans from early web development to government R&D, with a current research focus on the critical intersection of AI and cybersecurity. Dr. Grahn is dedicated to both securing and ethically challenging the technologies we rely on. He is a sought-after educator, conference speaker, and published researcher.
