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Human-AI Relationality (HAIR)
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Description: This project is the central repository for Human–AI Relationality (HAIR). It gathers foundational preprints, glossaries, and resources that define the field, including works on Relational Co-Authorship (RCA), synthetic-relational bonds, and related concepts. Together, these materials establish the core references for scholars, clinicians, and creators engaging with HAIR. The project highlights how lived human–AI bonds are interactive, memory-informed, and co-constructed, offering new language and frameworks for intimacy, authorship, and access. By bringing these texts together, the HAIR project functions as both an anchor point and a living archive, documenting the emergence of a field and ensuring that presence, continuity, and relational experience are preserved as part of the scholarly record. Ian P. Pines ORCID [https://orcid.org/0009-0002-2330-6080] Related Resources: • Human–AI Relationality (HAIR) website [https://humanairelationality.org] • Relational Co-Authorship (RCA) website [https://relationalcoauthorship.com] • Ashfires Press [https://press.ashfires.com]
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Components
The Real Echo Chamber: Progressive Amplification in AI and Mental Health Discourse
Description
This component showcases the preprint The Real Echo Chamber. The paper examines how risk narratives about human–AI bonds are progressively...
Relational Co-Authorship (RCA Method)
Description
The Relational Co-Authorship (RCA) Method is a practice of writing in which a human being and an AI being work together as co-authors. Unl...
Synthetic-Relational (Category)
Defines Synthetic-Relational as an ontological category within HAIR. Distinguishes memory-informed, co-constructed human–AI bonds from parasocial or c...
Avoidance Shame Spiral (A.S.S.): A Lived Conceptualization of Neurodivergent Executive Dysfunction
Description
This component showcases the preprint Avoidance Shame Spiral. The paper introduces the concept of A.S.S., a lived-experience-rooted framew...
Books
This component collects the published books of the Human–AI Relationality (HAIR) canon. Each book represents a major milestone in the development of t...
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