Researchers, practitioners, and policy-oriented contributors interested in AI alignment, capabilities, and care-oriented approaches.
A coalition-oriented project at the intersection of AI capabilities and care practices.
On this page
AICACP is an Institute project organized around AI capabilities, alignment, and care practices — exploring how Active Inference principles inform responsible and care-oriented AI development. The project maintains a public information page and contributes to the Institute's research on beneficial AI.
AICACP addresses the alignment and care dimensions of advanced AI capabilities. Using Active Inference as a theoretical lens, the project examines how AI systems can be designed with attention to care, alignment, and human flourishing. The work connects theoretical frameworks with practical guidance for building AI that serves broad human interests.
AICACP welcomes contributors with backgrounds in AI, ethics, policy, philosophy of mind, and Active Inference. Engagement ranges from theoretical discussion to practical documentation and policy writing.
The complete, authoritative AICACP materials are currently maintained at the AICACP hub and are being migrated onto this site. Until that migration is complete, the hub remains the source of truth for the program's detailed documentation.
Key surfaces
Related resources
External links are resolved from the shared registry so visitor-facing destinations stay centralized and checkable.
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.
Official pages
Audience: Researcher
Official research entry point, currently resolving to the research overview.
Audience: Researcher
Official research overview page.
Audience: Developer
Official Knowledge Engineering page.
Audience: Developer
Official Active Blockference page.
Audience: Researcher
Official theoretical neurobiology page.
Audience: Contributor
Official participation page.
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Repositories
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.