The eight design principles are not commandments but regularities: patterns that appeared consistently in Ostrom's empirical database whenever communities successfully managed shared resources across generations. Each principle describes a necessary condition; no single principle is sufficient. A governance arrangement can satisfy seven of the eight and still fail if the eighth is absent. The principles function as an integrated system, and their application to any specific commons — including the intelligence commons — requires adaptation to local conditions rather than uniform implementation.
The principles are: (1) clearly defined boundaries around the resource and its user community; (2) congruence between appropriation rules and local conditions; (3) collective-choice arrangements in which affected parties participate in rule-making; (4) monitoring of both the resource and users' behavior; (5) graduated sanctions proportional to violation severity; (6) conflict-resolution mechanisms accessible to all members; (7) minimal recognition of rights to organize by external authorities; and (8) nested enterprises for resources that are part of larger systems.
The principles operate as a system, not a checklist. A commons with clear boundaries but no monitoring cannot detect free-riding. A commons with monitoring but no graduated sanctions cannot respond to detected violations. A commons with sanctions but no conflict resolution cannot address the disputes that sanctions provoke. The principles must be developed together, imperfectly and iteratively, because a system that implements some but not others will be less effective than a system that implements all of them in provisional form.
Their application to the AI ecosystem requires reinterpretation. Boundaries in the intelligence commons are institutional rather than physical. Monitoring must contend with the invisible degradation problem. Collective choice requires overcoming extreme power asymmetries. Each principle survives the translation, but each requires institutional creativity adapted to the unprecedented conditions of the AI transition.
The principles were derived inductively from Ostrom's Institutional Analysis and Development framework applied to hundreds of commons cases. She did not start from theory and derive principles; she started from what worked and abstracted the patterns. This methodological signature — empirical first, theoretical second — is part of what makes the principles robust across contexts their originators never imagined.
System, not checklist. The principles function as an integrated whole; partial implementation typically produces less than the sum of its parts.
Empirical derivation. The principles emerged from comparing what worked, not from theoretical speculation about what should work.
Local adaptation required. Principles must be translated to specific contexts; one-size-fits-all applications are what Ostrom called 'panaceas' and typically fail.
Applicability to AI. Each principle survives translation to the intelligence commons but requires institutional creativity to implement under novel conditions.