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Alignment researchers and labs, robotics and multi-agent researchers, governance-minded organizations, and funders interested in AI alignment work grounded in Active Inference.
The Active Inference Alignment Coalition — a multi-institution initiative building a coalition, funding pipeline, and shared infrastructure for AI alignment.
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AI²C — the Active Inference Alignment Coalition — is a multi-institution initiative led by Research Fellow Mahault Albarracin and hosted by the Active Inference Institute. It is a separate project from AICACP (the AI Capabilities & Alignment Consensus Project, led by Adam Safron): the two share an alignment focus and a name-adjacent acronym, but different leads, teams, and scope. AI²C aims to turn Active Inference research into a platform for AI alignment, governance, and embodied experimentation, and is building a research coalition, a funding pipeline, and shared infrastructure for alignment work.
Alignment research today is fragmented — it happens across isolated labs and disconnected disciplines, without shared infrastructure or governance models. AI²C exists to address that by building a coalition where alignment is studied as a multi-agent, organizational, and embodied problem, governance is built into the system itself, and outputs are reusable, fundable, and collaborative.
Most alignment work focuses on single agents evaluated against static benchmarks. AI²C instead studies intrinsic motivation (curiosity, prosociality), extrinsic motivation (rulebooks, norms, safety constraints), and embodied systems (robotics, multi-agent coordination), treating alignment as something that emerges in real systems rather than a property of one agent alone. The coalition's planned outputs include governance frameworks such as rulebooks and override systems, reusable funding-proposal modules, alignment benchmarks grounded in Active Inference, embodied multi-agent experiments, and open-source tools and documentation — with the goal of making alignment research replicable, fundable, and scalable.
AI²C describes its work in three phases. Phase 1 covers coalition setup — partners, governance, and infrastructure. Phase 2 covers research and proposals — building the funding pipeline and shared proposal modules. Phase 3 covers experiments and outputs — embodied systems, publications, and tools.
AI²C's proposal-development work targets large, multi-institution funding vehicles for AI alignment research, including U.S. National AI Research Institutes, NSF Science and Technology Centers, and Horizon Europe's multi-partner Pillar II actions. The project is currently raising support for coalition coordination, proposal development, workshops and events, open infrastructure, and embodied experiments — funding at this stage is intended to seed a longer-term research ecosystem rather than a single deliverable.
Mahault Albarracin, a Research Fellow at the Active Inference Institute, is the creator and lead of AI²C.
AI²C welcomes researchers and labs working in Active Inference, alignment, robotics, cognitive science, and governance; organizations such as research institutes, public-interest AI groups, and open science communities; and funders — philanthropic, strategic, and institutional partners.
AI²C is a separate effort from AICACP, the Institute's other alignment-focused project. For details on joining the coalition, contributing, or supporting the work, contact the project directly.
Ключевые поверхности
Связанные ресурсы
Внешние ссылки разрешаются из общего реестра, поэтому ориентированные на посетителей назначения остаются централизованными и проверяемыми.
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Project repository for multiagent Active Inference modeling work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Developer
Geospatial modeling repository connected to ecological and bioregional applications.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Researcher
External paper repository surfaced from the official research page.
Audience: Researcher
Reachable arXiv reference surfaced from the official research page.
Официальные страницы
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Researcher
Public Wave Hypothesis shortlink.
Репозитории
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Researcher
Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
Audience: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
Audience: Researcher
Active Inference & Category Theory
Audience: Researcher
Public content repository for the Active Inference Journal and related publication infrastructure.
Audience: Researcher
Active Entity Ontology for Science
Audience: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.