# Human-in-the-Loop BCI
**Entity class:** Technology, method, or technical system
**Domain:** Brain-Computer Interfaces / Human-Computer Interaction
**Doc Type:** Concept Node
**Maturity:** Established Design Principle
**Related:** [[Closed-Loop BCI]], [[wiki/IEEE P2731|IEEE P2731]], [[Cognitive Liberty]], [[Neural Decoding]]
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## Definition
A **human-in-the-loop BCI** treats the user as an adaptive participant whose attention, intention, fatigue, learning, strategy, and feedback alter system behavior. The human is not merely a source of labeled signals but part of the operational control loop.
## Governance relevance
Agency must be specified: who initiates an action, who can veto it, how uncertainty is communicated, and whether adaptation serves the user or an external objective.
## Neurotech cluster route
**Collection:** [[collections/Neurotech|Neurotech]]
**Source articles:** [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]]
## Relationships
[[wiki/Human-in-the-Loop BCI|Human-in-the-Loop BCI]] is related to [[collections/Neurotech|Neurotech]] through [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]].
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This entry's documented connections are expressed in its definition and related-work routes, with provenance retained in the source-linked material.
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## Related Work in the Corpus
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- In [[articles/The Architecture of Continuity and Emerging Neuroinformatics Standards|The Architecture of Continuity and Emerging Neuroinformatics Standards]], ****3\. Standardization of Brain-Computer Interfaces (BCI)**** provides the narrative context for **Human-in-the-Loop BCI**: Decoding and control: neural decoding · generative BCI decoding · cross-modal neural decoding · closed-loop BCI · human-in-the-loop BCI.
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## Research Inference Attractors
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These are secondary semantic placements for the inference attractor network. Each statement keeps its original ID and tier; its canonical cluster page links back to every destination. Source register: [[research/Research Inferences|Research Inferences]]. Interpretive context: [[articles/Technologies for Consciousness Mapping and Transfer|Technologies for Consciousness Mapping and Transfer]] and [[articles/Mind Uploading and AI — The Host is Reusable and the Person is the Delta|Mind Uploading and AI — The Host is Reusable and the Person is the Delta]]. Collection route: [[collections/Neurotech|Neurotech]].
- **INF-0077 — Strongly indicated.** The party that defines the input abstraction captures the interface layer regardless of who builds the sensor. Neural input arriving as a HID class means the economic center of the BCI stack sits with platform owners, not with device makers.
- **Canonical cluster:** [[wiki/Cognitive Interface Layer|Cognitive Interface Layer]]
- **INF-0092 — Plausible.** An interface that reads cognitive load and adjusts its own pacing is a closed loop around attention itself. Once attention is a controlled variable, software design becomes a form of neuromodulation conducted through a screen.
- **Canonical cluster:** [[wiki/Cognitive Interface Layer|Cognitive Interface Layer]]
- **INF-0376 — Established.** Multi-person setups have transmitted simple decisions between brains by decoding from senders and stimulating a receiver, completing a brain-to-brain loop in humans. The channel is narrow, the demonstration is unambiguous, and the architecture is a decoder joined to a stimulator.
- **Canonical cluster:** [[wiki/Coupled Minds and Collective Cognition|Coupled Minds and Collective Cognition]]
- **INF-0392 — Strongly indicated.** Any system that aggregates decoded intent is also a system whose aggregation function can be weighted. Whoever specifies the aggregation controls the output, which makes the weighting function the locus of power in collective cognition.
- **Canonical cluster:** [[wiki/Coupled Minds and Collective Cognition|Coupled Minds and Collective Cognition]]
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## Simple Reminders, Quotations, and Thoughts
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> "How do we retain power over entities more powerful than us, forever?"
> **— Stuart Russell**, *2023, UC Berkeley interview*
[[reminders/AI Control/How Do We Control Minds More Powerful Than Ours by Stuart Russell|How Do We Control Minds More Powerful Than Ours by Stuart Russell]]
> "All AI systems should be under meaningful human control."
> **— Max Tegmark**, *2026, Future of Life Institute statement*
[[reminders/AI Control/Meaningful Human Control by Max Tegmark|Meaningful Human Control by Max Tegmark]]
> "Nobody really knows what’s going to happen [with advanced AI] … I’m just sounding the alarm."
> **— Geoffrey Hinton**, *2023, University of Toronto public event*
*Verification Status: Editorially quarantined — the quotation does not identify what is changing or what might happen. Recover a complete, self-contained passage before promotion.*
[[reminders/AI Control/Nobody Knows What Advanced AI Will Do Next by Geoffrey Hinton|Nobody Knows What Advanced AI Will Do Next by Geoffrey Hinton]]
> "The scientist ends by putting unlimited powers in the hands of the people whom he is least inclined to trust."
> **— Norbert Wiener**, *Atlantic Monthly response on controlled missiles (1946)*
*Verification Status: Unverified — exact wording/source has not yet been independently confirmed against a primary source; source clue: Atlantic Monthly response on controlled missiles (1946).*
[[reminders/unverified/Science Can Hand Unlimited Power to the Least Trusted by Norbert Wiener|Science Can Hand Unlimited Power to the Least Trusted by Norbert Wiener]]
> "And so if we build AI systems that are pursuing objectives, and those objectives are not perfectly aligned with what humans want, then humans won't get what they want, and the machines will."
> **— Stuart Russell**, *UC Berkeley research interview*
*Verification Status: Editorially quarantined — `then` omits the condition that produces the stated outcome. Recover a complete, self-contained passage before promotion.*
[[reminders/AI Control/When Machines Get What They Want by Stuart Russell|When Machines Get What They Want by Stuart Russell]]
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