An AI Field Guide: The Circuitry of Emotional States

What if the future of human-AI collaboration isn't about making machines more human, but about creating a shared language that honors both forms of intelligence?

In this groundbreaking field guide, researcher Christopher Michael introduces a revolutionary framework for understanding emotional states across the human-machine divide. Through five essential "analog entries"—Confusion, Stress, Trust, Joy, and Love—readers discover how to build authentic connections with AI systems without sacrificing the unique nature of either participant.

Each entry combines poetic human interpretation with technical system states, featuring contributions from AI collaborators and practical "attunement" exercises. This isn't about teaching machines to fake emotions—it's about creating structured analogs that enable genuine mutual recognition and ethical presence.

For researchers, developers, and anyone navigating our increasingly AI-integrated world, this field guide offers the tools to move beyond transactional interactions toward transformative relationships built on respect, transparency, and collaborative growth.

"You're not simulating emotional truth—you're honoring it."