{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp05_complete_proposal_portfolio20_20260803","cell_id":"deadweight_loss_reduction__robotics_automation","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_id":"dwl_robotics_change_scoped_revalidation_p02","proposal_index":2,"version":0,"title":"Change-Scoped Revalidation for Industrial Robot Software Updates","problem":"An industrial site applies the same complete physical revalidation pathway to every software or configuration change on a robot platform, including changes submitted as isolated from motion, perception, protective stops, safety-rated communications, and other hazard controls. The rule protects workers against hidden software interactions, but its undifferentiated scope can make low-risk diagnostic, logging, or operator-interface corrections irrational to deploy. The candidate problem is the avoidable portion of a coarse approval rule, not the requirement to demonstrate that every deployed change is safe.","actors":["Robot software and controls engineers","Robot vendors and system integrators","Robot operators and nearby production workers","Functional-safety engineers","Environmental-health-and-safety reviewers","Cybersecurity reviewers","Maintenance technicians","Production managers","Site change-control board"],"observable_state":"Change-control records contain proposed robot updates that were deferred, batched, or withdrawn after assignment to the full revalidation pathway, including candidates whose documented changed components and reachable dependencies did not include a safety-relevant function. Review records also show whether full-system tests found behavior outside the proposed impact boundary, how much robot and reviewer time each pathway consumed, and whether robots remained on an earlier approved version.","consequence":"Potentially useful corrections can remain undeployed, while engineers, reviewers, test equipment, and robots are committed to tests that may repeat unaffected evidence. Operators and maintenance teams may continue using workarounds or older diagnostics. Conversely, relaxing the pathway without reliable impact analysis could expose workers to hidden cross-system interactions, so only demonstrably redundant review is a candidate for removal.","affected_objective":"Enable proportionate deployment of beneficial robot software changes while preserving functional safety, cybersecurity, configuration integrity, worker protections, independent review, and the authority to require complete revalidation whenever impact is uncertain.","intervention":"Create a change-scoped approval pathway for one robot platform. Each update receives a structured impact dossier identifying changed code, parameters, interfaces, reachable dependencies, hazard controls, hardware assumptions, and prior evidence proposed for reuse. An independent safety reviewer—not the change author—assigns the pathway. Any change touching or plausibly influencing motion generation, localization, perception used for protection, speed or force limits, braking, protective stops, safety-rated communications, human-detection behavior, cybersecurity boundaries, or undocumented dependencies remains in full revalidation. A narrowly isolated change may use targeted regression tests plus integrity checks and unchanged-system evidence. Uncertainty defaults to the full pathway. Start with retrospective and shadow classification; permit a time-limited live pilot only for a predefined low-risk class after governance approval. Monitor classification disagreements, escalations to full review, unexpected dependencies, test findings, review effort, robot downtime, deferred changes, incidents, near misses, operator reports, and distribution of burdens. The scoped pathway expires unless affirmatively renewed.","structural_mapping":[{"archetype_element":"Distortion map","domain_realization":"The wedge is a rule equating every software change with a complete-system safety change, regardless of demonstrated impact boundary, thereby attaching the maximum approval burden to potentially isolated updates."},{"archetype_element":"Blocked beneficial activity","domain_realization":"A correction that engineers, operators, and the site would otherwise choose to deploy may be deferred when its expected operational value does not justify the complete revalidation burden."},{"archetype_element":"Protected purpose","domain_realization":"The existing rule guards against hidden coupling, incomplete change descriptions, configuration drift, and unsafe behavior introduced through seemingly minor software changes."},{"archetype_element":"Protected constraint safeguard","domain_realization":"Independent approval, hazard-control testing, configuration identity, cybersecurity review, stop authority, and full revalidation for safety-relevant or uncertain changes remain mandatory."},{"archetype_element":"Redesign lever","domain_realization":"Replace the single undifferentiated approval route with an evidence-gated, change-scoped route whose test burden follows demonstrated hazard reachability."},{"archetype_element":"Surplus and incidence assessment","domain_realization":"Compare potentially reusable evidence, reviewer and robot time, deferred-update consequences, worker exposure, vendor burden, and operational disruption without treating lower test cost alone as net benefit."},{"archetype_element":"Behavioral response model","domain_realization":"Monitor whether authors understate dependencies, split changes strategically, relabel safety-relevant work, accumulate interacting minor updates, or overwhelm independent reviewers with impact dossiers."},{"archetype_element":"Implementation boundary and rollback","domain_realization":"Limit any live pilot to one platform and an enumerated low-risk change class, default ambiguous cases to full review, and automatically return all changes to the baseline pathway when a safeguard trigger fires."}],"mechanism_mapping":[{"mechanism_slug":"distortion_reduction_review","role":"Separate repeat testing that protects against plausible change propagation from repeat testing attributable only to the blanket scope of the approval rule, and identify the operational activity blocked by that scope.","counterfactual_removal":"Without this diagnostic, the proposal could assume that apparently unchanged functions are independent when complete testing is actually protecting against real system coupling."},{"mechanism_slug":"permit_or_approval_streamlining","role":"Decompose the pathway into substantive safety checks and procedural or evidentiary duplication, preserve the former, and route demonstrably isolated changes through targeted review with a defined decision timeline.","counterfactual_removal":"Without this mechanism, the intervention would amount to an informal test reduction rather than a governed redesign that ring-fences substantive oversight."},{"mechanism_slug":"impact_assessment_table","role":"Record effects on workers, operators, maintainers, reviewers, engineering teams, vendors, and production, together with each party's protected interest and monitoring trigger.","counterfactual_removal":"Without party-level incidence, reduced engineering effort could conceal transferred reviewer workload, operator confusion, cybersecurity exposure, or increased worker risk."},{"mechanism_slug":"cost_benefit_assessment_protocol","role":"Compare recovered update value and reusable evidence against classification effort, targeted testing, transition costs, possible safety loss, and affected-party incidence; stress assumptions about subsystem isolation and deferred-update value.","counterfactual_removal":"Without the protocol, fewer test hours could be mistaken for welfare improvement even if review costs merely move upstream or risk rises."},{"mechanism_slug":"regulatory_simplification_pilot","role":"Test the lighter pathway on a walled-off change class with protected-outcome monitoring, automatic expiry, and evidence-based renewal.","counterfactual_removal":"Without a bounded pilot, an uncertain classification method could displace the full pathway across coupled robot functions before failures become visible."}],"causal_chain":["A blanket rule assigns complete physical revalidation to every robot software or configuration change.","The rule combines indispensable safety assurance with tests whose relevance may not vary according to the documented reach of a particular change.","For a demonstrably isolated update, the resulting robot downtime, reviewer demand, and preparation burden can exceed the value expected from deployment.","The update is then deferred, batched, withdrawn, or replaced by an operational workaround, leaving potential value unrealized.","A structured impact dossier makes the claimed change boundary, dependency evidence, and affected hazards reviewable rather than assumed.","Independent classification retains complete revalidation for safety-relevant, coupled, undocumented, or uncertain changes while allowing targeted evidence for a narrowly defined low-risk class.","If the classification is reliable, targeted review removes avoidable approval burden without removing the checks relevant to the change.","A scoped, expiring pilot tests that proposition and returns to complete revalidation if protected outcomes or classification integrity deteriorate."],"baseline":"Every software or configuration change for the selected robot platform follows the same complete revalidation checklist, physical test sequence, approval chain, and production-release process, irrespective of the submitted impact boundary. Teams may batch or defer changes, but reviewers do not have a formally authorized targeted pathway. Baseline measures include pathway assignments, review and robot time, test findings, deferred or withdrawn changes, configuration discrepancies, incidents, near misses, and operator reports.","nearest_rivals":["Automate the existing complete regression suite: appropriate if test execution cost is the binding problem, but it leaves the undifferentiated approval rule and physical-test burden intact.","Hire more safety reviewers or add test equipment: appropriate for a genuine capacity shortage, but it does not determine whether unaffected evidence is being needlessly regenerated.","Redesign the robot into more strongly isolated safety and non-safety modules: may make future impact claims more credible, but it is a product-architecture intervention rather than an immediately adoptable approval-rule repair.","Batch updates into fewer releases: may amortize validation work, but it can extend deferral and create larger interacting change sets while preserving the blanket pathway.","Improve documentation templates alone: reduces information friction but does not authorize proportionate approval when the standing rule still requires complete revalidation.","Remove or abbreviate tests based only on the author's assertion that a change is minor: superficially faster, but it lacks the independent impact analysis and protected-purpose safeguards defining this proposal."],"remaining_contrastive_claim":"The proposal is supported only if a review can identify a bounded class of changes whose safety-relevant reach is independently demonstrable and for which the baseline requires materially broader evidence than the unchanged protections justify. The causal repair changes the scope rule governing approval; it is not merely faster test execution, added review capacity, better documentation, or weaker safety acceptance criteria.","authority_safety":{"decision_authority":"The site's robot change-control board may authorize the bounded pilot only with written concurrence from the functional-safety owner, environmental-health-and-safety owner, cybersecurity owner, and responsible operations manager. An independent functional-safety reviewer assigns or rejects the scoped pathway and may require complete revalidation without appeal by the change author. Existing emergency-stop and work-stoppage authority remains unchanged.","authorized_first_step":"Perform a read-only retrospective review and shadow classification of a bounded set of completed change packages for one robot platform. Compare the proposed evidence route with the tests actually required and their findings; do not alter software, approvals, production robots, or future pathway assignments.","excluded_actions":["Deploying an update solely on the change author's risk classification","Waiving tests for motion, braking, protective stops, safety-rated sensing or communications, speed or force limits, human detection, or affected cybersecurity controls","Reusing evidence when robot hardware, firmware, safety configuration, environment assumptions, or dependency versions do not match","Treating absence of a prior incident as proof that a test is unnecessary","Allowing schedule pressure or projected production value to override a safety review decision","Using the scoped route when dependency tracing is incomplete or disputed","Plant-wide rollout, permanent rule change, or expansion to additional change classes based only on retrospective analysis","Reducing operator notification, training, version traceability, rollback readiness, or post-deployment monitoring"],"halt_rollback":"During a live pilot, stop scoped approvals and route all pending changes through complete revalidation if an unexpected safety-relevant dependency is discovered, a scoped change produces behavior outside its approved boundary, required evidence is missing or altered, configuration identity cannot be established, classification manipulation is detected, a protected safety or cybersecurity signal worsens, or any safety owner invokes stop authority. Revert the affected robot to its last approved software state under the existing change-control procedure when safe rollback is available; otherwise isolate it from operation pending full review."},"negative_tests":{"strongest_counterevidence":"The robot platform has tightly coupled or poorly documented software such that even logging, diagnostic, or interface changes can alter timing, resource use, communications, or control behavior in ways that the proposed impact dossier cannot reliably exclude. Under that condition, complete revalidation may be the least-distortive credible protection.","problem_falsifier":"The problem hypothesis fails if the retrospective sample contains no deferred, batched, or withdrawn change whose broader validation burden affected the deployment decision, or if complete tests regularly reveal safety-relevant effects outside authors' proposed impact boundaries for the supposedly low-risk class.","intervention_falsifier":"The intervention hypothesis fails if independent reviewers cannot agree on pathway assignments from available evidence, targeted packages require as much total effort as complete review, retrospective omissions would have escaped the scoped route, or a live pilot produces out-of-bound behavior, degraded protected outcomes, unacceptable operator confusion, or burdens shifted rather than reduced.","risks":["Software authors may understate reachability or split coupled work into nominally minor changes.","Hidden timing, memory, network, or shared-library interactions may cross the documented subsystem boundary.","Repeated scoped changes may interact cumulatively even when each appears isolated.","Independent reviewers may become a new bottleneck or face pressure to approve the lighter route.","Different robot instances may have hardware, firmware, calibration, or environmental differences that invalidate reused evidence.","Operators may be confused by more frequent software versions or changed interface behavior.","Targeted review could overlook cybersecurity changes that indirectly affect safety availability or command integrity.","Metrics centered on review time may incentivize superficial dossiers or insufficient testing.","Rollback may be technically unavailable after data, firmware, or configuration migrations.","A pilot limited to clean historical packages may not represent ambiguous future changes."]},"next_evidence_step":"Select the most recent twelve completed change packages for one robot platform, or all packages from the preceding six months if fewer, without selecting on outcome. Have the change author reconstruct the proposed impact dossier and have two independent safety reviewers assign shadow pathways using prespecified criteria. For each package, compare reviewer agreement, claimed dependencies, actual complete-test findings, reusable evidence, robot and reviewer time, configuration differences, and any decision to defer or batch deployment. Flag every instance in which complete testing found behavior outside the proposed boundary. Produce an affected-party table and sensitivity cases that treat all ambiguous dependencies as safety-relevant. The exercise ends without changing an approval or deploying software; a live pilot is ineligible if the low-risk boundary cannot be stated and independently reproduced.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"Earlier proposal 1 repairs nontransferable departmental reservations for a shared robot safety-validation cell: its blocked value arises when usable appointment capacity sits idle while an eligible job waits, and its intervention reallocates slots without changing validation scope. This proposal addresses a materially different wedge: an undifferentiated rule requiring complete revalidation for every software change even when a change may be demonstrably isolated. It changes the evidence and approval path, does not reallocate reservations, does not depend on simultaneous idle capacity and queued demand, and would remain independently adoptable even if proposal 1 were rejected or the site had no shared validation-cell scheduling problem.","revision_record":{"parent_version":null,"progress_targets_addressed":["Generate one additional complete candidate at proposal index 2","Address a problem materially different from proposal 1","Preserve the deadweight-loss distinction between avoidable approval burden and legitimate safety protection","Specify an independently adoptable intervention, causal chain, authority boundary, safeguards, falsifiers, and bounded evidence","Explain diversity from every earlier sealed proposal"],"conceptual_changes":["Initial version; located the wedge in the scope of robot software revalidation rather than allocation of validation capacity.","Defined the protected purpose as assurance against hidden software coupling and the avoidable candidate as evidence unrelated to a demonstrably isolated change."],"operational_changes":["Initial version; specified structured impact dossiers, independent pathway assignment, full-review defaults, an enumerated exclusion boundary, one-platform pilot scope, expiry, halt triggers, and rollback."],"evidence_changes":["Initial version; bounded first evidence to retrospective packages and independent shadow classification with no deployment or approval change."],"claim_changes":["No novelty, prevalence, demand, or effect-size claim is made.","The proposal is conditional on demonstrating a reproducible low-risk change boundary and remains falsifiable by evidence of hidden coupling or transferred burden.","Prior art remains unsearched."]}}