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Fresh review of proposed Talent owner PR #293 at exact 62250021ce3dc93fe085b532fc8fde7180aeaa71 found a narrower high-impact decision-provenance gap that is not covered by the current finalization rule.
ADR 0292 correctly says fully_automated_decision is non-authorizing for a high-impact Talent finalization, and that ai_assisted_human_decision requires substantive human intervention plus accountable-human confirmation. However, the current contract records a decision-level production mode without yet requiring provenance for material upstream stages that can already determine the practical outcome: eligibility screening, inclusion/exclusion, shortlist/slate formation, ordering/ranking, recommendation suppression, thresholding, or routing to/from human review.
That leaves a de-facto-automation loophole. An automated stage could irreversibly remove a worker from a pool/succession/mobility consideration set and a later human confirmation could still be recorded as ai_assisted_human_decision, even though the human never had a meaningful opportunity to see, evaluate, disregard, override, or reverse the material automated output. A final click must not retroactively turn an upstream automated material decision into meaningful human oversight.
This is a product/control contract defect in the Proposed Talent boundary, not permission to move legal applicability into the domain enum or to add a universal score.
Current ADR/TRACEABILITY already reject actor/signature/click as sufficient proof of substantive human intervention and prohibit fully automated high-impact finalization, but do not bind the production mode/effective oversight of each material decision stage.
Current consolidated Regulation (EU) 2024/1689 (consolidated 2026-07-27) Article 14 describes effective human oversight for high-risk AI, including awareness of automation bias and the ability, as appropriate and proportionate, to understand system limitations and to disregard, override, reverse, intervene in, or stop AI output. Annex III includes specified employment/worker-management uses. This is design/traceability evidence only; applicability and staged effective dates remain a versioned legal-policy determination.
Alon-Barkat & Busuioc (2023), Journal of Public Administration Research and Theory, 33(1), 153–169, https://doi.org/10.1093/jopart/muac007, shows why human presence alone is not a sufficient control model: human–algorithm interaction can exhibit uncritical or selective adherence, and the observed effects depend on context. This supports testing actual oversight behavior rather than treating a reviewer identity as proof.
Keep the repair documentation-only while ADR 0292 is Proposed. Align ADR, TRACEABILITY, and doctoring; do not create a production API/schema/UI merely to satisfy this finding.
Define a material decision stage as any automated or human step that can materially determine eligibility, inclusion/exclusion, shortlist/slate membership, ordinal recommendation, routing, or downstream high-impact action.
Preserve immutable stage-level provenance sufficient to reconstruct, for each material stage, whether it was human, AI-assisted-human, or fully automated; the model/tool/evidence/policy versions used; and its input/output lineage. A single final-decision enum is insufficient when earlier stages materially constrain the reachable outcome.
A later human confirmation must not relabel or erase an upstream fully automated material stage. fully_automated_decision remains non-authorizing for Talent high-impact finalization, and stage history remains immutable even if a human later accepts the result.
Define substantive human intervention operationally rather than by actor presence: before the material result becomes locked, the accountable reviewer must receive the relevant evidence and limitations, have an actual available path to disregard/override/reverse the automated output, and record the human disposition (accepted, modified, rejected, or equivalent controlled semantics) plus purpose-bound reason/provenance. Do not hard-code a legal conclusion from that evidence.
Automated exclusion/suppression must not make affected records or candidates invisible to the very reviewer expected to exercise oversight unless a separately reviewed policy explicitly authorizes that stage and the decision remains reconstructable/reviewable under the applicable rights contract.
Preserve DDD authority: talent_management records Talent planning/decision-stage provenance only; Job/FJA/KSAO, Person/Employment/Assignment, Position, performance, assessment, validity/fairness, and legal applicability remain with their existing owners.
RED acceptance before implementation
Add explicit pre-implementation negative contracts that fail when:
a fully automated eligibility/filtering stage excludes a worker, then a later confirmation click causes the overall record to be represented as if the material path were human-decided;
an AI recommendation is presented without its evidence/model/policy version or without an actual override/reversal path, yet finalization is accepted as substantively human-supervised;
the reviewer can confirm but cannot inspect the material basis or recover an automatically suppressed option;
stage production mode or human disposition is changed after the fact to alter governance/legal classification;
fully_automated_decision at any material stage is silently collapsed into a final ai_assisted_human_decision label;
a model-generated ranking/threshold becomes Talent or validity truth merely because a human accepted it.
GREEN is an internally consistent ADR/TRACEABILITY/doctoring contract on one exact head, independently reviewed, that preserves finalization denial plus stage-level provenance/effective-oversight semantics without claiming statutory applicability or production implementation.
Keep this issue open through the #293 repair and normal protected integration. It is not satisfied by adding a reviewer field, confirmation button, or generic "human in the loop" statement.
Finding
Fresh review of proposed Talent owner PR #293 at exact
62250021ce3dc93fe085b532fc8fde7180aeaa71found a narrower high-impact decision-provenance gap that is not covered by the current finalization rule.ADR 0292 correctly says
fully_automated_decisionis non-authorizing for a high-impact Talent finalization, and thatai_assisted_human_decisionrequires substantive human intervention plus accountable-human confirmation. However, the current contract records a decision-level production mode without yet requiring provenance for material upstream stages that can already determine the practical outcome: eligibility screening, inclusion/exclusion, shortlist/slate formation, ordering/ranking, recommendation suppression, thresholding, or routing to/from human review.That leaves a de-facto-automation loophole. An automated stage could irreversibly remove a worker from a pool/succession/mobility consideration set and a later human confirmation could still be recorded as
ai_assisted_human_decision, even though the human never had a meaningful opportunity to see, evaluate, disregard, override, or reverse the material automated output. A final click must not retroactively turn an upstream automated material decision into meaningful human oversight.This is a product/control contract defect in the Proposed Talent boundary, not permission to move legal applicability into the domain enum or to add a universal score.
Current authority and external evidence
develop@eb9757f8649aaad026a9865508d9aad50c1a7a4f; docs(talent): select post-hire talent-management boundary #293 current head at finding time is62250021ce3dc93fe085b532fc8fde7180aeaa71.Primary source: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:02024R1689-20260727
Required causal repair in #293
Keep the repair documentation-only while ADR 0292 is Proposed. Align ADR, TRACEABILITY, and doctoring; do not create a production API/schema/UI merely to satisfy this finding.
fully_automated_decisionremains non-authorizing for Talent high-impact finalization, and stage history remains immutable even if a human later accepts the result.accepted,modified,rejected, or equivalent controlled semantics) plus purpose-bound reason/provenance. Do not hard-code a legal conclusion from that evidence.talent_managementrecords Talent planning/decision-stage provenance only; Job/FJA/KSAO, Person/Employment/Assignment, Position, performance, assessment, validity/fairness, and legal applicability remain with their existing owners.RED acceptance before implementation
Add explicit pre-implementation negative contracts that fail when:
fully_automated_decisionat any material stage is silently collapsed into a finalai_assisted_human_decisionlabel;GREEN is an internally consistent ADR/TRACEABILITY/doctoring contract on one exact head, independently reviewed, that preserves finalization denial plus stage-level provenance/effective-oversight semantics without claiming statutory applicability or production implementation.
Keep this issue open through the #293 repair and normal protected integration. It is not satisfied by adding a reviewer field, confirmation button, or generic "human in the loop" statement.