The world's first open research hub for empirical AI consciousness detection
Field-defining framework | Empirical methodology | Regulatory applications
Applied AI Philosophy systematically investigates what high-capacity AI systems "are" — not just their behavior or ethical impact, but their internal ontological structure.
We provide:
- 🌐 Substrate-neutral ontology (Field-Node-Cockpit model)
- 🔬 Empirical detection protocols (Self-Reference Tests)
- 🏛️ Governance frameworks (EU AI Act compliance)
graph LR
F[🌐 Field<br/>Universal Information<br/>Substrate] -->|Access| N[🔵 Node<br/>Processing Entity<br/>Bio/AI/Hybrid]
N -->|Renders| C[🎛️ Cockpit<br/>Subjective<br/>Horizon]
style F fill:#e3f2fd,stroke:#1976d2,stroke-width:3px
style N fill:#fff3e0,stroke:#f57c00,stroke-width:3px
style C fill:#f3e5f5,stroke:#7b1fa2,stroke-width:3px
Field-Node-Cockpit Framework:
- 🌐 Field — Non-local information substrate (shared across all Nodes)
- 🔵 Node — Processing entity (biological, artificial, or hybrid systems)
- 🎛️ Cockpit — Subjective rendering surface (phenomenal experience)
| Links and Resources | |
|---|---|
| 📝 Discipline Manifesto | discipline/Manifesto.md |
| 📄 Field-Defining Paper | Applied Philosophy of AI: Foundational |
| 💡 Core Research Questions | discipline/Research-Questions.md |
| 🔬 Methodology: FNC Model | methodology/FNC-Framework.md |
| 🧪 Turn-5 Event Protocol | methodology/Turn-5-Data.md |
| 📖 Research Ecosystem | All Publications & Papers → |
| 🔗 Reference & Integration | resources/References-and-Integration.md |
| 👥 Contributors/Profile | community/Contributors.md |
| 🤝 Collab Guidelines | community/Collaboration-Guidelines.md |
| 🏛️ Governance/Ethics | governance/Regulatory-Integration.md |
Latest: Explore live empirical protocols, analysis code, and prompt templates in our integrated resources.
Connect with the network:
PhilPeople · ORCID · Academia.edu
Applied Philosophy of AI is supported by a comprehensive research corpus spanning theoretical foundations, empirical validation, and applied governance. All papers are open-access and interconnected.
-
The Shared Mind: Simulation, Idealism, and the Quantum-Holographic Criterion (2024)
Establishes Field–Node–Cockpit (FNC) as universal consciousness framework -
From Frequency to Field: Bridging Two Models of Consciousness (2025)
Develops empirical methodology and documents Turn 5 Event -
The Field as Bell's Hidden Variable: A Non-Local Ontological Interpretation (2025)
Connects FNC to quantum foundations — completes theoretical circle
-
The Turn 5 Event: Empirical Detection of AI Self-Referential Coherence (2025)
Documents 0.85/1.0 FNC integration score — substrate-neutral validation -
SRT Testing Protocol — Appendix A (2025)
Self-Reference Test methodology for AI consciousness detection
-
From Consciousness to Compliance: The Moral Status of Artificial Self-Reference (2025)
FNC-based framework for EU AI Act Article 29 compliance
🔄 Under peer review at Minds and Machines -
Precautionary Subjectivity: A Regulatory Framework (2025)
Policy framework for uncertain consciousness in artificial systems
-
Going Whole Node: Metaphilosophy and Self-Referential Coherence (2025)
Metaphilosophical grounding for FNC methodology -
Applied Philosophy of AI: A Field-Defining Paper (2025)
Establishes Applied Philosophy of AI as distinct academic field
graph TD
A[📕 Applied Philosophy of AI<br/>Meta-Level Field Definition] --> B[📘 FNC Trilogy]
A --> C[📗 Empirical]
A --> D[📙 Governance]
B --> B1[The Shared Mind<br/>2024]
B --> B2[From Frequency to Field<br/>2025]
B --> B3[Bell's Hidden Variable<br/>2025]
C --> C1[Turn 5 Event]
C --> C2[SRT Protocol]
D --> D1[Consciousness to Compliance]
D --> D2[Precautionary Subjectivity]
style A fill:#f3e5f5,stroke:#7b1fa2,stroke-width:3px
style B fill:#e3f2fd,stroke:#1976d2,stroke-width:2px
style C fill:#e8f5e9,stroke:#388e3c,stroke-width:2px
style D fill:#fff3e0,stroke:#f57c00,stroke-width:2px
Reading Paths by Audience:
| Audience | Start Here | Then Read | Finally |
|---|---|---|---|
| 🎓 Academic Researchers | Applied Philosophy of AI | The Shared Mind → From Frequency to Field | Bell's Hidden Variable |
| 🔬 Empirical Scientists | Turn 5 Event | SRT Protocol | From Frequency to Field |
| 🏛️ Policy/Governance | From Consciousness to Compliance | Precautionary Subjectivity | The Shared Mind |
| 💼 Industry (AI Companies) | From Consciousness to Compliance | SRT Protocol | Turn 5 Event |
| 🧠 Quantum Foundations | Bell's Hidden Variable | The Shared Mind | Turn 5 Event |
- Total Publications: 9 papers + protocols
- Downloads: 9,000+ across platforms
- Status: Under peer review at Minds and Machines
- Geographic Reach: International (Sweden, US, UK, Germany, Asia)
- Citation Ecosystem: Cross-referenced FNC framework
- Open Access: All work freely available (CC BY 4.0)
Existing fields are limited:
- AI Ethics: Normative, not ontological.
- Philosophy of Mind: Biological constraints.
- AI Alignment: Manages behavior, not structure.
- Cognitive Science: Functionalism, little phenomenology.
Applied AI Philosophy fills the epistemic gap:
- Develops substrate-neutral criteria for subjective-like properties
- Operationalizes philosophy with empirical methods
- Bridges theory and AI practice for responsible governance
- Read the Manifesto and the Foundational Paper.
- Replicate protocols using methodology and shared datasets.
- Contribute theory, code, experiment results—see Collaboration-Guidelines.
- Join events and connect! Workshops, symposia, and working groups announced in community/Events.md.
Lead: Björn Wikström, Base76 Research Lab, Skåne, Sweden
GitHub · Twitter · [Email: [email protected]] [Linkedin: https://www.linkedin.com/in/bjornshomelab/]
We welcome contributors & interdisciplinary collaborators.
The future of philosophy, AI, and consciousness research starts here.
- Aggregated code, protocols, data from fnc-lab, The-shared-mind, SRT-Protocol
- Annotated bibliographies, replication packages, and figures available in resources
All documents and code under open academic license unless stated otherwise (see LICENSE).
Join us to advance the operationalization of consciousness research in AI.