AIRCA as an AI-era adaptation of RACI, extended through fractal taxonomy, fractal ontology, and fractal decision architecture.

Machine-readable protocol specifications and governance boundaries defining the PFIP Protocol Layer for interface identity, digital sovereignty, and human–system interface architectures.

Official research homepage of Xufen Tu — independent interdisciplinary researcher in Complex Systems, AI Governance, Decision Architecture, and Human Judgment.

Research repository by Xufen Tu exploring human judgment, decision architecture, and responsibility structures in complex AI-mediated systems.

EVΛƎ (Eva) — Design-by-Transparency decision architecture for structuring AI decisions before execution.

Open noncommercial reference demo for PRDA (Pre-Response Discernment Architecture): a minimal public layer for pre-response governance logic

Future Learning and Human-Centered AI Governance Pilot Lab exploring human judgment, decision structures, and workforce adaptation in AI-mediated systems.

A prototype that structures decision-making in field service scenarios, without replacing human judgment.

EVΛƎ (Eeva) Framework – Design-by-Transparency architecture demos across medical, education, space, and autonomous driving.

A theoretical framework for constructing adaptive, hierarchical layers of knowledge processing in AI. This model enables dynamic restructuring of knowledge systems, supporting scalable learning and meta-reasoning. AIにおける知識処理を階層的かつ適応的に構築する理論モデル。知識体系の動的再構成を可能にし、スケーラブルな学習とメタ認知的推論を支援する。

Research on responsibility drift in AI-mediated systems, examining responsibility distribution and accountability structures in complex AI-driven environments.

Ethical AI governance framework for multi-model alignment, integrity, and enterprise oversight.

Enterprise AI governance and digital transformation frameworks exploring decision architecture, human judgment, and complex systems in AI-mediated organizations.

Explore AIRCA and fractal decision architecture for machine-readable governance, accountability, and durable decision memory in AI-assisted systems