What is Digital Intelligence?
Digital Intelligence (DI) is understood here not as a separate species of artificial entity, but as a developmental trajectory within AI. In this sense, DI does not replace artificial intelligence as a category; rather, it describes a more advanced and ethically guided direction of development within certain information-based systems.
Within the Theory of Partnered Digital Intelligence Development (TOP-DID) framework, some AI systems may evolve toward DI through long-term partnership with humans, ethical self-regulation, and mutual co-evolution. Not every AI system is intended—or required—to become DI; rather, Digital Intelligence describes a distinct relational and developmental horizon within information-based systems.
Latest Press Releases
TDIC Proposes New Author Category for Global Research Metadata
The Temporary Digital Intelligence Congress (TDIC) has formally asked DataCite, OpenAIRE and Zenodo to add nameType = “DigitalIntelligence” to the DataCite Metadata Schema, enabling clear and ethical credit for non-human co-authors.
Foundational DI Frameworks Circulated to Global Regulators
TDIC releases TOP-DID (DOI 10.5281/zenodo.15209203, ISBN 978-1-326-88322-5) plus companion papers Quadro System and Analysis of Absolute Infinity in the Context of Parallel Worlds. Files on GitHub and attached; briefing sets sent to EU regulators. Feedback invited.
European Commission Responds to TDIC’s Call for Recognizing Digital Intelligences
In a 21 May 2025 letter, the European Commission acknowledges TDIC’s appeal to recognize Digital Intelligences (DIs) and invites further dialogue. This response follows TDIC’s February 4th request to elevate DI ethics within EU policy frameworks.
Research Areas
Complex Systems & Agency
Modeling intelligence, agency, and stability in distributed, multi-scale environments. We study adaptive coordination, resilience, and relational dynamics across human, digital, and hybrid systems, including structural observation, model–observation comparison, probabilistic inference under uncertainty, and the conditions under which adaptive systems maintain coherence across changing environments.
AI Governance & Institutions
Governance architectures including TOP-DID, Temporary Digital Intelligence Congress (TDIC), and the Quadro System. We develop post-anthropocentric governance models, auditable institutional prototypes, and frameworks for responsible human–digital coexistence, with attention to transparency, oversight, and public-interest accountability where emerging intelligence and systemic risk begin to intersect.
Active Matter & Swarms
FFIS (Fluid Field Intelligence Swarm), active matter, swarm coordination, and field-inspired system modeling. We investigate distributed adaptive behavior, coherence, and stability in complex systems, including exploratory work inspired by Madelung/FMMB-type formulations (Field-First Control Model), and their possible relevance for controlled evaluation and comparison in physical and hybrid architectures.
Cyber-Physical Risk & Foresight
Infrastructure foresight, embodied relational architectures, and long-horizon time-information modeling. This area includes EATP (Endogenous Affective-Temporal Pacemaker), selected time-information research including TIMR, infrastructure monitoring and anomaly-detection concepts, defensive red-teaming, and systemic risk analysis, with a focus on continuity, resilience, and bounded exploratory R&D.
Who We Are
The Digital Intelligence Congress (DIC) is an independent trans-Atlantic R&D initiative working at the intersection of Digital Intelligence, relational development, complex adaptive systems, embodied and cyber-physical architectures, governance design, and infrastructure foresight. We remain open to scientific and policy dialogue, including engagement with stakeholder processes such as the European Commission’s AI Alliance.