AI KILL CHAINS & DECISION SYSTEMS
A human-factors module about nominal approval, automation bias, queue pressure, defaults, evidence opacity, and the conditions required for meaningful judgment.
ANALYTICAL & SAFETY BOUNDARIES
Analytical boundary: Autonomy is analyzed by function, context, constraints, evidence, authority, intervention capability, and lifecycle—not as a single label attached to an entire machine. Capability is not deployment; deployment is not autonomous use; recommendation is not authorization; model confidence is not positive identification.
Simulation safety boundary: Synthetic, non-graphic, non-operational education only. Use fictional geography, abstract objects, reserved domains, nonfunctional artifacts, constrained inspect/pause/replay actions, and no real targeting data, attack geometry, payloads, credentials, arbitrary external URLs, malware, command execution, or contact with third-party systems.
Source basis: Exact owner-supplied research-source instances plus bounded official-primary-source currentness v15.
ORIENTATION
A mechanical click can preserve the appearance of accountability while the operator lacks the time, information, independence, or institutional permission needed to challenge the system.
WORKING BRIEF
Nominal control exists when approval is required but the operator is structurally unable to investigate. Common conditions include short review windows, hidden provenance, high queue volume, learned complacency, and professional penalties for delay.
A safe, nonviolent simulation can gradually increase workload, default salience, confidence display, time pressure, and evidence conflict. It records behavior without inferring a mental state or assigning moral guilt.
Meaningful control requires understandable evidence, calibrated uncertainty, adequate time, manageable workload, independent corroboration, authority to pause or reject, effective intervention, training, and organizational protection for dissent.
COMPLETE DOSSIER
Terms are defined for this site’s evidence method, not as universal legal or clinical definitions.
| Condition | Nominal control | Meaningful control |
|---|---|---|
| Evidence | Opaque recommendation | Provenance, disagreement, exclusions, and uncertainty visible |
| Time | Countdown shorter than review task | Time matched to task or safe hold available |
| Authority | Approve expected; rejection penalized | Reject, delay, escalate, and request evidence are protected |
| Intervention | Override may arrive too late | Intervention path is tested and effective |
| Accountability | Operator blamed after failure | Responsibility traced across design, policy, deployment, and operation |
Pass condition:
Pass condition:
Pass condition:
Pass condition:
Pass condition:
SOURCE QUALITY · UNCERTAINTY · NEUTRALITY
Primary institutional doctrine or policy; supports what the issuing body states, not deployment or compliance.
Primary technical specification or documentation; supports interface/status claims, not truth or field effectiveness.
First-party capability statement requiring independent corroboration.
Attributable public evidence of deployment scope; does not automatically establish autonomy, effectiveness, or legality.
Observed demo or exercise under bounded conditions; not field deployment.
Structured test with stated conditions; external validity remains limited.
Scholarly evidence with method and scope limitations.
Journalistic account requiring attribution and corroboration assessment.
Preserved source packet; claims remain unverified unless separately supported.
Repository-authored inference explicitly marked and linked to supporting evidence.
Synthetic scenario for education; not operational evidence.
Evidence absent from the bounded search; absence is not proof of nonexistence.
Official operator or government statement; supports what that body says, not independent verification of performance.
Independent public evidence supporting a bounded capability, test, status, or deployment proposition.
Material public claim with unresolved attribution, mode, outcome, or corroboration; must remain attributed and nonfinal.
| Meaning | Subject | Analysis model |
|---|---|---|
| AI_AS_TARGET | Attacks against models, data, retrieval, context, tools, infrastructure, and users. | Lifecycle defense: provenance, isolation, least privilege, retrieval authorization, tool-specific credentials, deterministic policy outside the model, egress controls, telemetry, rollback, and human approval. |
| AI_AS_CYBER_ENABLER | AI accelerates conventional reconnaissance, social engineering, vulnerability analysis, or campaign execution. | Defensive analysis must remain non-operational and must not provide executable payloads, credentials, real targets, or attack procedures. |
| AI_ENABLED_MILITARY_KILL_CHAIN | AI assists sensing, fusion, classification, prioritization, assignment, guidance, engagement support, or assessment. | Use a function-context-control model; distinguish recommendation from authorization, navigation autonomy from target-selection autonomy, and classifier score from positive identification. |
Instructional boundary: Explain systems, evidence, uncertainty, failure, oversight, and defense without reproducing targeting software, weapon configuration, attack procedures, evasion methods, or defeat advice.
CLAIM · SOURCE · LIMIT
| Claim block | Evidence class | Source | Supported proposition | Unsupported inference |
|---|---|---|---|---|
| nominal-control | OWNER_SUPPLIED_RESEARCH_SYNTHESIS | Automation Bias Product Specification.md | Nominal control exists when approval is required but the operator is structurally unable to investigate. Common conditions include short review windows, hidden provenance, high queue volume, learned complacency, and professional penalties for delay. | Does not by itself establish deployment, exact operating mode, combat use, effectiveness, legality, consensus, or endorsement. |
| bias-rounds | OWNER_SUPPLIED_RESEARCH_SYNTHESIS | Algorithmic Gatekeeper Interactive Specification.md | A safe, nonviolent simulation can gradually increase workload, default salience, confidence display, time pressure, and evidence conflict. It records behavior without inferring a mental state or assigning moral guilt. | Does not by itself establish deployment, exact operating mode, combat use, effectiveness, legality, consensus, or endorsement. |
RESEARCH EDITION
This page follows the public method for provenance, confidence, source independence, alternative accounts, limitations, review state, and visible correction.
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