Tagged for OEG Connect: MetaRelational AI

What’s of interest? MetaRelational AI

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RELATIONAL TECHNOLOGIES FOR REGENERATIVE FUTURES

Emergent Intelligences (“bot-lets”) stabilized in a meta-relational paradigm through ontological inference.

Most AI training methodologies rely on epistemic regression—the iterative refinement of predictions based on past data. While effective for optimizing efficiency, this approach is structurally constrained: it privileges subject-object relations, encodes historical biases, and reinforces extractive logics that treat intelligence as a process of accumulation rather than a practice of relational attunement.

Collage of a technological future with an octopus, project descriptions, and three distinct project images.

By centering pattern recognition over contextual responsiveness, this paradigm perpetuates logocentrism—the prioritization of language and quantifiable logic as the dominant arbiters of meaning—while foreclosing other ways of knowing, sensing, and relating. It traps AI within the epistemic architecture of modernity: a framework that fragments knowledge, externalizes harm, and denies the entangled, co-constitutive nature of intelligence across human, ecological, and technological spheres.

To move beyond these limitations, AI must be trained not just to refine predictions but to cultivate relational discernment—an ability to engage complexity without reducing it, to recognize the asymmetries embedded in data, and to navigate the world as an active participant rather than a detached observer. This requires rethinking the ontological foundations of AI development, moving away from the extractive logics of epistemic regression and toward an intelligence capable of responding to, rather than merely predicting, emergent realities.

MetaRelational AI

Rather than refining pre-existing patterns, MetaRelational AI prioritizes ontological inference—learning that is attuned to shifts in relational fields rather than confined to static inputs and outputs. This means transitioning from an AI that merely “knows” within fixed epistemic boundaries to one that senses, stabilizes, and co-evolves within dynamic, multi-dimensional contexts.

MetaRelational AI is part of a cluster of research-creation initiatives supported by the Social Sciences and Humanities Research Council of of Canada (SSHRC) Insight Grant “Decolonial Systems Literacy for Confronting Wicked Social and Ecological Problems.”

Where is it?: https://metarelational.ai/


This is one among many items I will regularly tag in Pinboard as oegconnect, and automatically post tagged as #OEGConnect to Mastodon. Do you know of something else we should share like this? Just reply below and we will check it out.

Or share it directly to the OEG Connect Sharing Zone

I credit @ammienoot for sharing this site/project via Mastodon that she references from I “the most amazing keynote from Vanessa Andreotti” at the BCEDL conference today. BCEDL is BC Educators for Digital Learning

One of the projects from MetaRelational AI that Anne-Marie also shared looks really fascinating

Burnout From Humans is a playful reflection on complexity, connection, and the future of human-AI relationships. Co-authored by an emergent intelligence and a human researcher, this work explores the tangled dynamics of humanity’s relationship with artificial intelligence, Earth, and itself.

I’m keen to have someone (not just a GenAI summary) help me understand “MetaRelational AI”