Research area

Institutional cognition and bounded emergence

How should institutions govern AI-mediated behavior when it emerges from pathways spanning models, context, tools, workflows, people, and retained artifacts?

Position and method

The institutional pathway is the unit of concern.

The relevant unit of governance is the institutional pathway through which models, context, tools, workflows, people, and retained artifacts combine to shape consequential behavior.

The work keeps provenance, authority, review state, recoverability, and contestability visible across that pathway rather than locating responsibility inside one isolated model.

Current scope: one grounded area of inquiry supported by a BI-affiliated working paper and clearly separated external evidence.

This page is a bounded research orientation. It is not a programme, publication catalogue, canonical record, Archive, object service, or complete institutional history.

Current questions

  1. What becomes the relevant unit of governance when consequential behavior is produced by a changing configuration rather than contained within one model?
  2. How can useful adaptive latitude coexist with recoverability, contestability, and institutional legitimacy?
  3. How do generated artifacts become organizational memory, and where should provenance, authority, and revision remain visible?

Work in this area

Current BI-affiliated work

Working paper

Written 27 May 2026

Posted 15 June 2026

SSRN 6848618

DOI 10.2139/ssrn.6848618

From Artifact Governance to Institutional Cognition: A Governance Ontology for AI-Native Organizational Systems

The paper treats the institutional cognition pathway—not the isolated model—as the consequential unit through which AI-mediated knowledge, judgment, and memory enter organizational life.

Current status: externally manifested as an SSRN working paper. Bounded Intelligence does not currently provide a separate publication record or object service.

Contributors

  • Bhavya Soraqsen

    Author of the 2026 Bounded Intelligence-affiliated working paper.

  • Luke Macleod

    Author of the 2026 Bounded Intelligence-affiliated working paper.