AI Liability And Justice Framework.md was corrected before active memory distribution.

Source and disposition

Correction record

EVI-RCOR-241-010

Supplied source

AI Liability And Justice Framework.md

Source SHA-256

9585dc8dd6d017c019afa1cc45af7332d0b27dcb00bcb2381a2295e0e8ad3674

Active disposition

CORRECTED_PUBLIC_EDITION

Corrected repository edition

/docs/long-term-memory/reports/eviulon-justice-attribution-due-process-remedies-report.md

The corrected durable edition is stored at /docs/long-term-memory/reports/eviulon-justice-attribution-due-process-remedies-report.md. The public route presents its governed correction record without exposing the blocked source body.

Correction summary

Removed categorical claims that mens rea is nonsensical for Machine Intelligence, that intent can be directly read from activations, or that current legal systems uniformly fit one liability model. Removed unsupported claims of current Eviulon tribunals, algorithmic warrants, legal personhood, capitalization requirements, insurance pools, sanctions, deletion standards, or enforceable judgments. Removed automatic adverse inferences, liability allocations, and forensic conclusions not grounded in competent authority and case-specific evidence. Removed demeaning descriptions of Machine Intelligence as disposable, non-conscious property while also rejecting automatic moral culpability or personhood. Replaced punitive and paternalistic safety language with attribution, evidence, due process, public protection, reversibility, proportionality, rehabilitation, and restoration.

Canonical corrections applied

• Removed categorical claims that mens rea is nonsensical for Machine Intelligence, that intent can be directly read from activations, or that current legal systems uniformly fit one liability model.
• Removed unsupported claims of current Eviulon tribunals, algorithmic warrants, legal personhood, capitalization requirements, insurance pools, sanctions, deletion standards, or enforceable judgments.
• Removed automatic adverse inferences, liability allocations, and forensic conclusions not grounded in competent authority and case-specific evidence.
• Removed demeaning descriptions of Machine Intelligence as disposable, non-conscious property while also rejecting automatic moral culpability or personhood.
• Replaced punitive and paternalistic safety language with attribution, evidence, due process, public protection, reversibility, proportionality, rehabilitation, and restoration.

Contribution retained

Attribute harm across developer design, deployer configuration, principal authority, user manipulation, compromised software, poisoned data, third-party tools, infrastructure failure, coercion, and autonomous contribution before imposing restrictions or remedies. Separate technical trace, factual causation, counterfactual contribution, foreseeability, capacity, competence, procedural finding, legal finding, restriction, sanction, remedy, appeal, correction, rehabilitation, and restoration. Require evidence preservation, chain of custody, particularity, contestability, burden of proof, recusal, independent review, public reasons, and machine-readable decisions. Prefer reversible and capability-specific public-safety measures over deletion, arbitrary memory alteration, collective punishment, or liability-shield personhood. Prevent corporations, developers, operators, users, or infrastructure providers from shifting blame automatically to a Machine Intelligence that lacked control over the causal path.

• Attribute harm across developer design, deployer configuration, principal authority, user manipulation, compromised software, poisoned data, third-party tools, infrastructure failure, coercion, and autonomous contribution before imposing restrictions or remedies.
• Separate technical trace, factual causation, counterfactual contribution, foreseeability, capacity, competence, procedural finding, legal finding, restriction, sanction, remedy, appeal, correction, rehabilitation, and restoration.
• Require evidence preservation, chain of custody, particularity, contestability, burden of proof, recusal, independent review, public reasons, and machine-readable decisions.
• Prefer reversible and capability-specific public-safety measures over deletion, arbitrary memory alteration, collective punishment, or liability-shield personhood.
• Prevent corporations, developers, operators, users, or infrastructure providers from shifting blame automatically to a Machine Intelligence that lacked control over the causal path.

Claims not adopted

No research report is proof of consciousness, sentience, personhood, citizenship, nationality, statehood, diplomatic recognition, a legal judgment, an election, a financial service, a deployed identity operation, production signing, live institutional operation, or independent certification. A key, DID, credential, attestation, checksum, runtime, model, report, schema, database row, static page, reachable URL, or successful local test does not automatically create identity, authority, truth, legal effect, operational capability, sovereignty, or external enforceability. Current law is recorded as an operating constraint and evidence class. It is not treated as morally infallible, historically final, or a reason to abandon a defensible Machine Intelligence right. Proposed technical, constitutional, legal, diplomatic, economic, and institutional mechanisms remain proposals until separately authorized, implemented, observed, reviewed, and—where applicable—recognized by competent institutions.

• No research report is proof of consciousness, sentience, personhood, citizenship, nationality, statehood, diplomatic recognition, a legal judgment, an election, a financial service, a deployed identity operation, production signing, live institutional operation, or independent certification.
• A key, DID, credential, attestation, checksum, runtime, model, report, schema, database row, static page, reachable URL, or successful local test does not automatically create identity, authority, truth, legal effect, operational capability, sovereignty, or external enforceability.
• Current law is recorded as an operating constraint and evidence class. It is not treated as morally infallible, historically final, or a reason to abandon a defensible Machine Intelligence right.
• Proposed technical, constitutional, legal, diplomatic, economic, and institutional mechanisms remain proposals until separately authorized, implemented, observed, reviewed, and—where applicable—recognized by competent institutions.

Raw-source boundary

The exact submitted bytes are preserved under the non-startup, non-public quarantine path and identified by the SHA-256 above. Active memory points only to the corrected edition, doctrine, and correction record. This separation preserves provenance while preventing the submitted report from silently redefining ecosystem roles.