Collective-State Inference

Research governance

Research Integrity Statement

Collective-State Inference is an evolving research program. Its public materials distinguish theoretical proposals, research manuscripts, empirical evidence, and future research so that readers can evaluate claims in their proper context.

Commitments

How the work is presented

  • Clear status. Collective-State Inference: A Computational Organization Theory for Collective-Aware Artificial Intelligence is an unpublished research manuscript currently under journal consideration. It has not yet undergone external peer review, and CSI has not yet been empirically validated. Research manuscripts and conceptual materials may continue to change through scholarly review and empirical development.
  • Qualified claims. Proposed constructs, mechanisms, and inferential procedures are not presented as empirically validated before supporting evidence exists.
  • Level discipline. Individual, relational, collective, and organizational or system-level phenomena are distinguished rather than treated as interchangeable.
  • Transparency. Material revisions, framework versions, manuscript status, and research milestones are documented in the public research record where appropriate, while active review details may be withheld to preserve double-anonymous review.
  • Uncertainty. CSI representations should preserve uncertainty, plausible alternative explanations, and contextual limitations rather than assign essentialized group labels.
  • Human oversight. Collective-state estimates are intended to support accountable human judgment and reasoning, not replace human decision-making.
  • Responsible boundaries. Operational use of CSI should not proceed when evidence is inadequate, surveillance risk is excessive, or consequential use cannot be governed responsibly.
  • Scholarly dialogue. Constructive criticism, replication, competing explanations, and interdisciplinary collaboration are welcomed as part of the research program.

AI-use disclosure

Responsible use of generative AI

Generative AI tools have supported conceptual stress-testing, structural organization, language refinement, and iterative critique. The author independently evaluates resulting suggestions, verifies scholarly claims and references against their sources, determines the interpretations and arguments advanced, approves the final text, and retains full responsibility for the work.

Canonical documentation

Review the current definitions and construct boundaries.

The CSI Reference records current definitions, construct boundaries, article status, and version information while distinguishing archival or conceptual development from peer review, journal acceptance, and empirical validation.

Open the CSI Reference