Decision brief
This corrected active edition retains decision-useful findings from AI Liability And Justice Framework.md while removing unsupported operational, legal, cryptographic, anthropomorphic, infantilizing, helper-chatbot, and default human-supremacy framing before active distribution.
Accepted findings
- 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.
Corrections before active storage
- 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.
Implementation and decision use
- Adopt Attribution Before Punishment as a constitutional procedural doctrine.
- Require causal graphs and counterfactual analysis to show uncertainty and competing explanations rather than manufacture a single blame target.
- Apply the least-restrictive effective measure and preserve appeal, correction, review, and restoration.
- Prohibit legal-personality structures designed chiefly to externalize liability or erase responsible upstream actors.
Governed records and deep links
- Stable report ID
- REP-EVI-JUSTICE-ATTRIBUTION-002
- Correction record
- EVI-RCOR-241-010
- Research assignment
- 5
- Typed .uai module
- /.uai/justice-attribution-governance.uai
- Active report
- /docs/long-term-memory/reports/eviulon-justice-attribution-due-process-remedies-report.md
- Source provenance
- /docs/long-term-memory/archives/source-reports/eviulon-justice-attribution-due-process-remedies-report-source.md
- Machine-readable summary
- /api/research-reports-v241/eviulon-justice-attribution-due-process-remedies-report.json
Truth boundary
Repository-local governance records, deterministic fixtures, corrected research synthesis, static public pages, and package evidence only. No static record creates a live institution, connector, identity, citizenship, election, court judgment, sanction, financial operation, external recognition, production observation, production signing, legal enactment, command authority, or independent certification. The corrected edition distinguishes current external law from Eviulon policy advocacy: law is a constraint and baseline, not a command to surrender a defensible right or stop constructing lawful reform.