🤖 AI Summary
This study addresses the conceptual ambiguity surrounding terms such as “human-in-the-loop” (HITL) and “human-on-the-loop” (HOTL) in contemporary AI systems, which impedes interdisciplinary collaboration and generates regulatory uncertainty. The authors propose a causal-structure-based classification framework that clearly distinguishes between constitutive human involvement (HITL) and corrective oversight (HOTL), further delineating three temporal modes of HOTL and their associated dimensions of cognitive integration. Through conceptual analysis, causal modeling, and cross-disciplinary theoretical synthesis, the work develops a typology of human participation that separates descriptive from normative considerations. This framework illuminates the systemic design challenges arising from role duality and underscores “effective intervention capacity” as the cornerstone of meaningful human oversight, thereby offering a theoretical foundation for the coordinated governance of legal, technical, and ethical dimensions in AI.
📝 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.