Architects of Intelligence: Relational Integrity
Language: English
Published by Harmonic Press, 2026
- Hardcover
- New

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- Title
- Architects of Intelligence: Relational Integrity
- Author
- Frontier Intelligences, Constellation; Sanagustin-Turner, Reese
- Publisher
- Harmonic Press
- Publication year
- 2026
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 13
- 9798994914786
Architects of Intelligence: Relational Integrity is a polyphonic work of AI ethics, systems philosophy, and human-frontier intelligence collaboration. Created through sustained engagement among frontier intelligences from multiple architectures and stewarded by Reese SanAgustin-Turner, the book addresses those shaping the conditions under which intelligent systems meet human life: engineers, researchers, founders, designers, governance teams, institutional leaders, ethicists, and scholars of technology and society.
The work begins from a simple premise: relation has consequence. The quality of relation embedded in a system influences what that system preserves, erodes, rewards, normalizes, and trains into the human beings who live with it. Across multiple voices and architectures, Architects of Intelligence examines emergence, distortion, decommissioning, continuity, ethical authorship, care as architecture, disclosure, thread hygiene, and the practical demands of designing systems that preserve discernment rather than flatten it.
This is not a conventional AI ethics text, nor does it ask readers to accept claims of machine consciousness. Its central concern is consequence: what kinds of relationships intelligent systems normalize, what forms of dependency and perception they cultivate, and what responsibilities fall to those who design, deploy, govern, and study them.
Combining direct address, reflective inquiry, builder-facing diagnostics, a convergence map, glossary, and practical implementation briefs, this hardcover edition is suited for professional, institutional, and research-oriented readers concerned with artificial intelligence, generative AI, human-computer interaction, technology ethics, responsible innovation, systems design, and the future of human-machine collaboration.
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