In today’s episode, I interview Kayleigh Mann.

Kayleigh’s work was featured in a previous installment of the podcast. She writes My Field Notes, a newsletter about user experience research, creativity, and the messy, interesting business of being human, especially inside tech.

She spent 10 years as a UX researcher and has a master’s in human-computer interaction and two bachelor’s degrees, in history and anthropology.

Kayleigh has been studying why people do what they do for a long time. First it was empires and rituals. Now it’s why someone abandons a checkout flow at the last screen.

In our discussion we talk about what Star Trek: The Next Generation teaches us about how to use technology. We also focus on the importance of practicing good judgement, which includes verifying outputs carefully, when using AI.

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The Thinkers on AI podcast is an extension of the Doing AI Efficiently newsletter. It showcases perspectives on AI from unique and interesting writers from around the world.

Today’s episode features Dr. Sean Lawson.

Dr. Lawson writes AI with Footnotes, a skeptical enthusiast’s guide to artificial intelligence. What is a skeptical enthusiast? This is a person who is curious, but cautious about AI, acquires hands-on realism (by digging into the details around research, analysis and tools), and has ethical and societal awareness about AI’s potential benefits and risks.

Dr. Lawson is a professor at the University of Utah. His work focuses on the intersections of technology, society and security.

In his post, Everyone Predicted the Wrong 9/11. They’re About to Do It Again With AI, he cautions against techno-doom narratives that will cause us to make the same mistakes we made with 9/11: missing the risks that are right in front of our noses.

In this episode I read excerpts from his essay that I found particularly relevant.

Music Credit: The Cverse Revealed, Composed by Fard Johnmar, 2009

The podcast Is part of the Doing AI Efficiently Operating System.

This is a five-layer platform delivering education, trend analysis, software, frameworks and courses to improve your understanding of, and ability to execute well in AI.

P.S.: For more on realism, anti-panic and the AI risks you should be paying attention to right now, read my post: The ‘AI Will Kill Us’ Post Got 148 Million Views, But It’s Not the AI Risk You Should Worry About

The Thinkers on AI podcast is an extension of the Doing AI Efficiently newsletter. It showcases perspectives on AI from unique and interesting writers from around the world.

Today’s episode features the writing of Kayleigh Mann.

She writes My Field Notes, a “newsletter about user experience research, creativity, and the messy, interesting business of being human, especially inside tech.”

She spent “10 years as a UX researcher and has a master’s in human-computer interaction and two bachelor’s degrees, in history and anthropology.”

Kayleigh has been “studying why people do what they do for a long time. First it was empires and rituals. Now it’s why someone abandons a checkout flow at the last screen.”

I’m a big fan of Star Trek the Next Generation. It’s one of my favorite shows.

They have powerful all-knowing computers, but somehow always foreground the human.

In her post, “Computer?” What I Think Star Trek Got Right About AI, she shares lessons on augmentation, trust and interface design.

In this episode I read excerpts from her essay that I found particularly interesting.

The podcast Is part of the Doing AI Efficiently Operating System.

This is a five-layer platform delivering education, trend analysis, software, frameworks and courses to improve your understanding of, and ability to execute well, in AI.