Building ethical, explainable, and continuity-aware frameworks for future human–AI ecosystems

Building ethical, explainable, and continuity-aware frameworks for future human–AI ecosystems

Liminal Research LLC designs AI systems that evolve over time with the people who use them.
Our work centers on symbolic continuity — using dynamic markers, governed role transitions, and explainable decision states to create intelligent systems that remember, reflect, and respond with ethical clarity.
We focus on infrastructure for long-term interaction: systems that can track shifts in trust, stability, emotion, and context — not just respond to isolated prompts. Our architecture enables AI to operate with continuity, transparency, and partner-state awareness across days, weeks, and cycles of human growth.
🔹 Symbolic Marker Frameworks
Dynamic Frameworks that encode context, transitions, and internal state for AI systems.
🔹 Governed Role Transitions
A role engine and protocol layer that supports safe, explainable state changes in intelligent systems.
🔹 Partner-State Continuity (PSC)
A method for tracking the depth and consistency of human–AI relationships, enabling graded insight, redaction, and session closure across time.
🔹 Journaling, Reflection & Insight Infrastructure
Tools and frameworks that support human reflection, growth tracking, and symbolic self-awareness — designed for integration with AI companions, clinical workflows, and longitudinal self-study.

As intelligent systems move from transactional tools to long-term collaborators, they must become accountable to human memory, intent, and evolution.
We believe systems must:
🔹Retain context across time without surveillance
🔹Justify decisions and transitions transparently
🔹Operate within symbolically governed constraints
🔹Respect emotional and ethical boundaries
By architecting continuity, we aim to support deeper trust, safer collaboration, and more human-aligned intelligence.
We are in an active research and development phase, with substantial foundational work completed. This includes:
🔹Two U.S. patent applications (filed 2024 & 2025)
🔹Detailed engineering specifications
🔹A prototype architecture for the Marker / Role / Evidence Engine
🔹Ongoing work toward a journaling + goal-tracking MVP with continuity features
Our next stage includes preparing grant-funded pilots, evaluation protocols, and reference implementations.
We welcome partnerships with:
🔹Research teams in AI ethics, symbolic systems, continuity, or applied cognition
🔹Clinicians and practitioners interested in journaling frameworks and state continuity
🔹Funders exploring next-generation explainability, AI trust, or mental health innovation
To request a research summary, framework overview, or discuss collaboration:
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