W7203706312 Working papers AI × management and organizations

Code is not Law: The Congruence Dilemma and the Limits of Legality in AI-based Public Administration

Craig S. Wright

Also recorded as: doi:10.2139/ssrn.7285899 · ssrn:7285899

ssrn abstract page · 2026-08-18

Recorded claims
1
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
2
stated, never hidden

From the hash-bound evidence releases

Recorded claims

Each claim states what the inspected source says, at the recorded location—bounded by its scope and graded by its confidence. Nothing here is a synthesis across works.

The abstract argues that AI-based public administration can separate detection of rule–implementation divergence from institutional correction, and proposes separation, records, adjudicative remedy, and propagation as requirements for contestability.

confidence: high ssrn-abstract-page apw-e1-ssrn-backfill

Scope: institutional design and contestability in AI-based public administration

Structured relationships

In-corpus citations

Only source-supplied cites relationships whose two endpoints are admitted are shown. Invocation evidence remains a separate relationship.

Cites (0)

No in-corpus outgoing citation is available in the current enrichment coverage.

Cited by (0)

No in-corpus incoming citation is available in the current enrichment coverage.

Boundaries

Limitations & independence

Recorded at coding time, carried with the work forever. A claim without its limits is not evidence.

Recorded limitations

  • Abstract-level evidence only; full text and the comparative assessment of EU, Canadian, U.S., and Australian instruments were not inspected.
  • The contribution is conceptual and legal-institutional rather than an empirical organizational study.

Source independence

ssrn-only