W7203634534 Working papers AI × management and organizations

Human-on-the-Loop: A Theory of Oversight Capacity, Its Failure Modes, and the Non-Delegable Residual in the Age of AI Agents

Naoki Kadowaki

Also recorded as: doi:10.2139/ssrn.7296638 · ssrn:7296638

ssrn abstract page · 2026-08-19

Recorded claims
2
coded from the inspected source
Evidence classes
1
ssrn-abstract-page
Recorded limitations
5
stated, never hidden

From the hash-bound evidence releases

Recorded claims

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The abstract develops a firm-level theory of human-on-the-loop governance for AI agents, modeling oversight as a capacity-constrained organizational resource and distinguishing constitutive oversight from control oversight.

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

Scope: conceptual theory of firm governance and oversight of AI agents

The conceptual abstract recasts human-on-the-loop governance as an authority configuration constrained by response latency, treats oversight as a consumable organizational capacity, and argues that only constitutive oversight remains solvent as AI-agent throughput rises.

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

Scope: firm governance, delegation, verification, and oversight of AI agents

Structured relationships

In-corpus citations

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Cites (0)

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Boundaries

Limitations & independence

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Recorded limitations

  • abstract-level evidence only; full text not inspected
  • the abstract states that the paper is conceptual and generates no new data
  • Abstract-level evidence only; full text was not inspected.
  • The abstract explicitly describes the work as conceptual and states that it generates no new data.
  • Cross-lane re-find: recorded independently by E1-L02 and E1-L04 (same platform; identity keyed by SSRN id in REGISTRY.md).

Source independence

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