Sep 2026· Metaverse Science, Society and Law· 0 citations
TL;DR
This paper outlines a systematic framework designed to integrate generative AI modalities into the field of restorative tattoo art, specifically targeting psychological and somatic rehabilitation post-oncological disease.
Abstract
The rapid evolution of intelligent systems prompts a significant paradigm shift from purely computational optimization toward active mediation within highly subjective, delicate, and deeply personal human domains. Within the conceptual frameworks of Human-Centered Artificial Intelligence (HCAI) and Affective Computing, these intelligent architectures are increasingly recognized as dynamic digital intermediaries. This paper outlines a systematic framework designed to integrate generative AI modalities into the field of restorative tattoo art, specifically targeting psychological and somatic rehabilitation post-oncological disease. By combining multimodal large language models (LLMs) with advanced affective computing configurations, the proposed methodology resolves the "verbalization bottleneck" inherent in conventional trauma processing. The system maps uncodified emotional inputs into precise visual parameters, thereby facilitating post-traumatic growth, somatic reclamation, and clinical patient autonomy.
Psilocybin therapy in patients with cancer commonly produces vivid embodied and imaginal experiences that resist verbal description, yet most current integration approaches rely primarily on cognitive and verbal processing. We hypothesize that an approach to integration that directly engages this embodied register, without requiring translation into a verbal narrative, will enable patients to re-access salient aspects of their psychedelic experience and consolidate them into a durable, re-enterable touchstone. We call this mode of processing participatory-imaginal processing. Drawing on Embodied Imagination, predictive processing models, and clinical observations from psilocybin therapy, we describe how participatory-imaginal processing can be invoked during integration sessions, how it provides an opportunity to revisit somatic, affective, and imaginal material from the psychedelic experience, and the way it can function as a hypothesis-generating therapeutic framework. Our method is called the DREAM protocol (Drop In, Recount, Enter, Amplify, Merge), which we designed as a structured clinical heuristic that operationalizes our approach in a form that can be taught and evaluated for feasibility and fidelity. We hypothesize that using DREAM to activate a participatory-imaginal mode of processing in integration may help patients re-engage somatically salient aspects of their psychedelic experience and identify embodied touchstones that remain accessible long afterward. We illustrate the framework using clinical material from Bosnak’s work and spontaneous reports from participants in completed psilocybin trials. Two pilot studies currently in progress are designed to assess the feasibility, tolerability, and preliminary therapeutic relevance of this approach in the immediate post-psilocybin period.
Anthony L. Back, R. Bosnak· Frontiers in Psychiatry· 0 citations
This work proposes creative alignment as a framework for analyzing expressive neuro-AI systems across signal, semantic, narrative, and social layers and contributes a research-through-practice account of how brain–AI interfaces can become responsible artistic apparatuses for novel human expression.
Albert Barque-Duran, Ada Llaurado-Crespo, Jesús Vaquerizo-Serrano et al.· Proceedings of the Special I...· 0 citations
How principles of cross-modal correspondence and personalization are being leveraged to create adaptive systems for health-tech are explored, including closed-loop neurofeedback for neuromodulation, smart keyboards for motor rehabilitation using biofeedback, and AI-driven analysis of musical improvisation for mental health assessment.
SOMA is a multisensory robotic sculpture that engages bodily memory as a mode of human–AI communication. Visitors re-enact a remembered movement through a wearable sensing device, while the machine listens, interprets, and responds through its own mechanical choreography, forming an intimate, non-verbal dialogue between human and robotic body. At a time when human–AI interaction is dominated by text-based conversational agents, the work reclaims the body as a site of communication with artificial being, positioning somatic memory as both metaphor and method.
Pinyao Liu· Proceedings of the Special I...· 0 citations
It is argued that AI technologies offer openings for cultural critique and emotional insight, and a more pluralistic and emotionally attuned vision for how AI might shape experiences of grief and memorialization is provided.
Jed R. Brubaker, Tamara Borovica, Katrin Gerber et al.· Thanatos· 0 citations
A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.
