Complete policy, technical, and implementation guidance for symbiotic AI
Toward a Regulatory Framework for Symbiotic Artificial Intelligence
Artificial intelligence is rapidly becoming foundational infrastructure. However, the dominant trajectory of AI expansion is materially intensive. This white paper proposes a new governance paradigm: Symbiotic Artificial Intelligence.
AI systems should pursue architectures and deployment strategies that maximize useful intelligence per unit of energy, water, and material input.
AI operators should demonstrate measurable contribution to energy efficiency, emissions reduction, or infrastructure optimization.
Advanced AI should be preferentially directed toward public-interest uses such as grid resilience and climate adaptation.
Require covered AI operators to report energy use, water consumption, carbon intensity, hardware footprint, and infrastructure dependencies.
Require operators above thresholds to quantify energy savings enabled, waste reduced, emissions avoided, and public-interest outcomes.
Establish a hierarchy of AI uses during periods of scarcity: critical infrastructure, climate resilience, essential services, commercial uses, entertainment.
Encourage non-urgent workloads to be shifted according to lower grid carbon intensity and water stress.
Require major operators to reserve compute for climate research, grid management, disaster response, and public health.
Mandate that no sustainability framework may justify surveillance overreach or erosion of due process.
A national Green Code framework may involve coordination across:
Complete document with detailed analysis, risk assessment, and policy recommendations
Download White Paper (110 KB PDF)Measurement, Classification, and Operational Requirements for Symbiotic AI Systems
GCTS-1 defines minimum technical, operational, and reporting requirements for AI systems seeking classification as efficient, beneficial, or symbiotic under the Green Code framework.
| Level | Designation | Minimum Requirement | Audit |
|---|---|---|---|
| G0 | Unclassified | No compliant reporting | — |
| G1 | Transparent | Resource burden disclosed | Optional |
| G2 | Efficient | Efficiency controls implemented | Self-assessment |
| G3 | Beneficial | NBR > 1 with methodology | Recommended |
| G4 | Symbiotic | NBR > 3 with independent audit | Required |
| G5 | Transformative Symbiotic | NBR > 10 with audit + public contribution | Required |
Implement workload policies prioritizing smallest sufficient model and retrieval before generation.
Schedule non-urgent compute to minimize marginal emissions intensity.
Monitor usage, assess local stress, publish mitigation plans.
Reserve capacity for designated public applications where required.
Complete specification with detailed requirements and conformance criteria
Download GCTS-1 (93 KB PDF)Charter on Symbiotic Artificial Intelligence and Planetary Stewardship
We, the endorsing states, institutions, enterprises, and civic bodies,
Recognizing that artificial intelligence is becoming a defining layer of contemporary organization;
Concerned that compute-intensive systems may amplify environmental strain and unequal burden;
Affirming that technological development must remain consistent with human dignity and Earth's living systems;
Adopt the following Charter:
This Charter establishes guiding principles for AI development and governance that are ecologically responsible, socially beneficial, and compatible with fundamental rights.
Artificial intelligence shall remain subject to human law, human rights, and legitimate democratic institutions.
AI systems should be measured and governed as material infrastructures with environmental impacts requiring disclosure, mitigation, and oversight.
States and institutions should encourage AI deployments that generate verifiable public, scientific, ecological, or infrastructural value.
The scale of computation should be proportionate to the importance, necessity, and expected benefit of the task.
Participating entities should promote standardized disclosure concerning energy use, water consumption, environmental burden, and public impacts.
No program under this Charter may legitimately justify mass surveillance, coercive digital identity, opaque scoring, denial of rights, or non-consensual data exploitation.
States should encourage advanced AI for climate adaptation, energy optimization, disaster resilience, water stewardship, and public-interest innovation.
Signatories should cooperate on shared terminology, reporting standards, low-power research, capacity-building, and equitable access.
Participating entities should maintain mechanisms for independent review, public reporting, incident disclosure, corrective action, and remedy.
This Charter may be operationalized through national law, procurement standards, voluntary certification, regional regulation, or multilateral agreements.
We affirm that intelligence at scale must be organized in service of life, liberty, and planetary continuity.
Complete charter document with signature blocks for institutional endorsement
Download Charter (101 KB PDF)Operational pathways for startups, governments, and institutions
Complete operational guides for startups, governments, and institutions
Download Roadmaps (70 KB PDF)Supporting materials and companion documents