Research Areas

Research into governance structures for increasingly operational AI systems.

Thought Council explores the governance and developmental structures that may become necessary as AI systems become more capable, more operational and more integrated into everyday workflows.

AI governance systems

Operational oversight structures for AI-assisted workflows and automation systems.

Developmental cognition

Persistent memory, reflection, correction and long-term continuity in operational AI environments.

Adversarial evaluation

Red-team critique systems, self-review loops and bounded evaluation environments.

Operational memory

Long-term task continuity, workflow history and structured operational recall.

Auditability and traceability

Tamper-evident operational records and governance visibility.

Human-AI coordination

Practical systems for maintaining human review and accountability within AI-assisted operations.

Healthier digital systems

Research into calmer, less extractive digital coordination environments.

Sandboxed evaluation

Bounded environments for testing operational cognition and governance infrastructure.

Approval-gated automation

Workflow structures where sensitive execution remains subject to meaningful human review.

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