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Constitutive vs. Corrective: A Causal Taxonomy of Human Runtime Involvement in AI Systems

Kevin Baum, Johann Laux

Abstract

As AI systems increasingly permeate high-stakes decision-making, the terminology regarding human involvement - Human-in-the-Loop (HITL), Human-on-the-Loop (HOTL), and Human Oversight - has become vexingly ambiguous. This ambiguity complicates interdisciplinary collaboration between computer science, law, philosophy, psychology, and sociology and can lead to regulatory uncertainty. We propose a clarification grounded in causal structure, focused on human involvement during the runtime of AI systems. The distinction between HITL and HOTL, we argue, is not primarily spatial but causal: HITL is constitutive (a human contribution is necessary for the decision output), while HOTL is corrective (external to the primary causal chain, capable of preventing or modifying outputs). Within HOTL, we distinguish three temporal modes - synchronous, asynchronous, and anticipatory - situated within a nested model of provider and deployer runtime that clarifies their different capacities for intervention. A second, orthogonal dimension captures cognitive integration: whether human and machine operate as complementary or hybrid intelligence, yielding four structurally distinct configurations. Finally, we distinguish these descriptive categories from the normative requirements they serve: statutory "Human Oversight" is a specific normative mode of HOTL that demands not merely a corrective causal position, but genuine preparedness and capacity for effective intervention. Because the same person may occupy both HITL and HOTL roles simultaneously, we argue that this role duality must be treated as a design problem requiring architectural and epistemic mitigation rather than mere acknowledgment.

Constitutive vs. Corrective: A Causal Taxonomy of Human Runtime Involvement in AI Systems

Abstract

As AI systems increasingly permeate high-stakes decision-making, the terminology regarding human involvement - Human-in-the-Loop (HITL), Human-on-the-Loop (HOTL), and Human Oversight - has become vexingly ambiguous. This ambiguity complicates interdisciplinary collaboration between computer science, law, philosophy, psychology, and sociology and can lead to regulatory uncertainty. We propose a clarification grounded in causal structure, focused on human involvement during the runtime of AI systems. The distinction between HITL and HOTL, we argue, is not primarily spatial but causal: HITL is constitutive (a human contribution is necessary for the decision output), while HOTL is corrective (external to the primary causal chain, capable of preventing or modifying outputs). Within HOTL, we distinguish three temporal modes - synchronous, asynchronous, and anticipatory - situated within a nested model of provider and deployer runtime that clarifies their different capacities for intervention. A second, orthogonal dimension captures cognitive integration: whether human and machine operate as complementary or hybrid intelligence, yielding four structurally distinct configurations. Finally, we distinguish these descriptive categories from the normative requirements they serve: statutory "Human Oversight" is a specific normative mode of HOTL that demands not merely a corrective causal position, but genuine preparedness and capacity for effective intervention. Because the same person may occupy both HITL and HOTL roles simultaneously, we argue that this role duality must be treated as a design problem requiring architectural and epistemic mitigation rather than mere acknowledgment.
Paper Structure (22 sections, 2 figures)

This paper contains 22 sections, 2 figures.

Table of Contents

  1. Introduction: The Tower of Babel of Human Involvement
  2. The Central Causal Distinction: HITL vs. HOTL
  3. Human-in-the-Loop: Constitutive Agency
  4. Human-on-the-Loop (HOTL): Corrective Agency
  5. Temporal Gradations within HOTL
  6. Synchronous HOTL
  7. Asynchronous HOTL
  8. Anticipatory HOTL
  9. Boundary Cases and Process Individuation.
  10. Cognitive Integration: Complementary vs. Hybrid Intelligence
  11. Complementary Intelligence
  12. Hybrid Intelligence
  13. Interaction of Dimensions
  14. HITL + Complementary
  15. HITL + Hybrid
  16. ...and 7 more sections

Figures (2)

  • Figure 1: The causal distinction between HITL and HOTL. The Human-in-the-Loop is constitutively embedded within the decision process (grey box), forming a necessary link in the causal chain from input to output. The Human-on-the-Loop occupies an external position (dashed connections), capable of shaping or intervening in the process at various points without being causally necessary for output generation.
  • Figure 2: Nested temporal perspectives on AI system lifecycles. The deployer's design-runtime-inspection cycle operates within the provider's runtime phase. Human oversight interventions may target different phases of this nested structure: synchronous HOTL intervenes during deployer runtime; asynchronous and anticipatory HOTL shape deployer design time based on inspection time findings.

Theorems & Definitions (3)

  • definition 1: Human-in-the-Loop (HITL)
  • definition 2: Human-on-the-Loop (HOTL)
  • definition 3: Human Overseer (HO)