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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.
주요 표면
관련 자료
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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.
공식 페이지
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.
저장소
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.