As foundational patents expire on March 23, 2026,
REVIRTUAL transitions from proprietary protection
to an open accountability infrastructure
designed for AI operational attribution.
As artificial intelligence systems rapidly scale from research environments into operational domains
—finance, healthcare, logistics, autonomous agents, and robotics
—the question of safety is increasingly accompanied by a more fundamental issue:
Who is operationally accountable when AI acts?
With the expiration of foundational REVIRTUAL patents in Japan, the United States, and China on March 23, 2026,
IHC Corp. formally transitions REVIRTUAL from proprietary protection to an open public accountability infrastructure.
This transition reflects not the end of protection, but the beginning of structural implementation.
AI governance discussions often focus on:
Model safety
Bias mitigation
Transparency
Algorithmic audit
These are necessary.
However, as AI systems become embedded in real-world decision loops, another dimension becomes critical:
Verifiable operational human attribution.
When an AI-enabled system triggers financial transfer, medical recommendation, supply chain action, or physical movement, the accountability chain must extend beyond policy statements.
It must identify:
Who initiated or authorized the action
Where that individual was physically present
When the operational instruction occurred
Without structurally verifiable human attribution, accountability remains declarative rather than enforceable.
REVIRTUAL is not a competing AI model.
It is not a safety evaluation tool.
It does not inspect algorithms.
Instead, it provides a structural layer that verifies:
Continuity and consistency of human existence
across identity, location, and time.
By correlating:
Individual identification (Who)
Spatial information (Where)
Temporal information (When)
REVIRTUAL enables operational systems to:
Prevent non-existent or duplicated presence
Control access in non-verified locations
Attribute AI-triggered actions to real human existence
This framework complements, rather than replaces, existing authentication technologies.
As AI systems scale, insurers, regulators, and public markets increasingly require:
Traceable operational logs
Verifiable human authorization chains
Defensible attribution in litigation scenarios
Self-declared compliance is insufficient under systemic risk conditions.
Operational human attribution must transition from internal policy to structural verification.
REVIRTUAL offers a foundational architecture that can support:
AI risk underwriting frameworks
Regulatory reporting requirements
Public market disclosure safeguards
Cross-organizational accountability standards
This structure reduces ambiguity in liability allocation across AI-integrated systems.
The expiration of patent protection does not diminish REVIRTUAL’s relevance.
It removes barriers to broader adoption.
IHC Corp. therefore commits to:
Publishing open conceptual specifications
Engaging with international standardization bodies
Supporting pilot implementations in AI-integrated sectors
Collaborating with insurers and regulatory stakeholders
The objective is not exclusivity.
The objective is structural sustainability of AI-enabled society.
As AI systems move from advisory tools to operational actors,
accountability cannot remain implicit.
It must become structurally verifiable
through real human presence attribution.
REVIRTUAL establishes a structural foundation
for enforceable human accountability in AI-integrated environments.
For collaboration inquiries regarding pilot implementation,
insurance integration, or regulatory dialogue, please contact us.
Engagement Pathways
Pilot Implementation
Insurance Integration Dialogue
Regulatory Consultation
Standardization Collaboration