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trust calibration

cognitive alignment

+9

When AI Feels “Too Certain”

May 12, 2026

•

3 min read

When AI Feels “Too Certain”

How expectancy violation drives user distrust when AI sounds more confident than the user feels.

Eugene Chan
Eugene Chan

cognitive offloading

+8

When AI Feels “Too Helpful”

May 10, 2026

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3 min read

When AI Feels “Too Helpful”

How uncertainty reduction drives humans to over-consume AI assistance even when they don’t need it.

Eugene Chan
Eugene Chan

AI fluency

+7

The Illusion of Listening

May 7, 2026

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2 min read

The Illusion of Listening

Why AI’s conversational fluency makes humans mistake responsiveness for empathy.

Eugene Chan
Eugene Chan

anthropomorphism

+6

The Uncanny Attachment

May 6, 2026

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4 min read

The Uncanny Attachment

Why users project intimacy onto conversational agents—and why it disrupts professional boundaries.

Eugene Chan
Eugene Chan

cognitive offloading

+9

When AI Stops Feeling Like a Tool

May 6, 2026

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2 min read

When AI Stops Feeling Like a Tool

How automation bias quietly trains humans to stop questioning intelligent systems.

Eugene Chan
Eugene Chan

Gain a clear, mechanism‑driven understanding of how real people think, trust, and behave around AI systems — turning complex psychological dynamics into practical insights they can apply to design, strategy, and product decisions.

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