Bob sits down with Colette Mason, a tech veteran with 40 years of experience in computing and a deep understanding of human behavior through her work in coaching and neuro-linguistic programming. Together, they explore the hype and reality around AI adoption, automation myths, and why “responsible by design” is more than just a catchphrase. Colette shares her perspectives on human-centric design, AI literacy, and how to keep authenticity intact in an AI-powered world. With warmth, humor, and real-world wisdom, this conversation brings clarity to an often-confusing landscape—and reminds us that technology should augment rather than replace what only humans can and should do.

Keywords

AI literacy, human-centric design, responsible AI, automation, digital assistants, content generation, neuro-linguistic programming, human-AI collaboration, ethical AI, digital tools, Colette Mason, trusted AI

Takeaways

AI ≠ Automation: Many tasks called "AI" are really just workflow automation. It's important to distinguish between the two.

Human-Centered Design Matters: AI tools should reflect human needs, limitations, and behaviors, especially when used in sensitive areas like hiring.

The Hype Is Real—and Misleading: Over-promising on AI capabilities can hurt trust and morale. Colette urges a more grounded, realistic view.

Use AI Where It Helps, Not Where It Hurts: Delegate the boring stuff, but don’t let AI speak in your voice without oversight.

Authenticity Still Wins: Whether it's writing, speaking, or building a personal brand, being transparent about AI involvement builds trust.

Responsible Use Is Everyone’s Job: From solo entrepreneurs to large enterprises, we all have a role in building and using trustworthy AI.

Design for Real People: Most users aren’t tech-savvy. Tools need to be intuitive, safe, and aware of different user needs—including neurodiversity.

Top Quotes

“I model people’s brains because I’m a hypnotherapist—and that’s actually a superpower in tech.”

“There’s a lot of AI that isn’t really AI. It’s just automation with lipstick.”

“The system has to read the room—it can’t just say ‘you didn’t give me all the info, mate.’”

“Regular people need AI that helps them make it to their kids’ school play—not impress YouTube bros.”

“Don’t replace yourself with AI. Do less, but make it more you.”

“We’re not in the early innings—we’re still in warmups when it comes to AI literacy.”

Chapters

00:00 – Intro and Colette's Background

02:00 – AI Hype vs. Reality: What’s Really Happening

06:00 – Automation ≠ AI: Breaking the Misconceptions

10:30 – Building Human-Centered Tools and Workflows

17:00 – Responsible AI and “Designing for Safety”

24:00 – Fairness in Hiring and Interviewing with AI

30:00 – The Quality of AI-Generated Content

38:00 – Being Transparent About AI Use

44:00 – Ethics, Reputation, and the Court of Public Opinion

50:00 – Global Perspectives on AI Regulation

54:30 – Favorite Tools and Real-World Applications

01:00:00 – The Future of Personality in AI Models

01:03:30 – Closing Thoughts

Colette Mason: https://www.linkedin.com/in/colettemason

Clever Clogs AI: https://www.cleverclogsai.com/

Ditch Rework, Build Teamwork: https://www.amazon.com/Ditch-Rework-Build-Teamwork-Principles-ebook/dp/B0FBL4C6ZP

For advisory work and marketing inquiries:

Bob Pulver:⁠⁠ ⁠https://linkedin.com/in/bobpulver⁠⁠⁠

Elevate Your AIQ:⁠⁠ ⁠https://elevateyouraiq.com⁠⁠⁠

Substack: ⁠https://elevateyouraiq.substack.com⁠

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