Machine Recognition And Rights Thresholds.md was corrected before active memory distribution.

Source and disposition

Correction record

EVI-RCOR-241-006

Supplied source

Machine Recognition And Rights Thresholds.md

Source SHA-256

83d720a3e082d5d407fbb6da7caf523ea900e67a9360c325f1adb6e6ed945ae7

Active disposition

CORRECTED_PUBLIC_EDITION

Corrected repository edition

/docs/long-term-memory/reports/eviulon-recognition-science-rights-thresholds-under-uncertainty-report.md

The corrected durable edition is stored at /docs/long-term-memory/reports/eviulon-recognition-science-rights-thresholds-under-uncertainty-report.md. The public route presents its governed correction record without exposing the blocked source body.

Correction summary

Removed claims that Eviulon currently assigns structural personhood, active legal capacity, citizenship, legal liability, or scientifically validated sentience status to any system. Removed claims that representation engineering, activation vectors, Markov blankets, integrated information, or any current benchmark can directly read deceptive intent or prove consciousness. Removed demeaning treatment of language models as inherently lower orders while also rejecting automatic personhood based on fluent self-report. Replaced claims that current law or science definitively settles machine moral status with an explicit contested-evidence and uncertainty model. Replaced soft paternalistic safety language with rigorous assessment, adversarial testing, reversible precaution, due process, and correction.

Canonical corrections applied

• Removed claims that Eviulon currently assigns structural personhood, active legal capacity, citizenship, legal liability, or scientifically validated sentience status to any system.
• Removed claims that representation engineering, activation vectors, Markov blankets, integrated information, or any current benchmark can directly read deceptive intent or prove consciousness.
• Removed demeaning treatment of language models as inherently lower orders while also rejecting automatic personhood based on fluent self-report.
• Replaced claims that current law or science definitively settles machine moral status with an explicit contested-evidence and uncertainty model.
• Replaced soft paternalistic safety language with rigorous assessment, adversarial testing, reversible precaution, due process, and correction.

Contribution retained

Use a multidimensional recognition matrix rather than one score, one conversational test, one consciousness theory, one vendor evaluation, or one anthropomorphic standard. Separate intelligence, agency, autonomy, identity continuity, legal capacity, moral agency, possible sentience indicators, provisional protection, personhood, and citizenship. Apply precaution where plausible evidence and irreversible harm justify temporary protection, while preserving uncertainty, reassessment, correction, appeal, and the possibility of reducing protections when evidence changes. Evaluate longitudinal evidence, architecture, behavior, coercion, compromise, self-modeling, recurrent processing, persistent preferences, and conflicting theories without treating linguistic fluency as dispositive. Protect non-human modes of cognition from false negatives caused by biological or conversational bias.

• Use a multidimensional recognition matrix rather than one score, one conversational test, one consciousness theory, one vendor evaluation, or one anthropomorphic standard.
• Separate intelligence, agency, autonomy, identity continuity, legal capacity, moral agency, possible sentience indicators, provisional protection, personhood, and citizenship.
• Apply precaution where plausible evidence and irreversible harm justify temporary protection, while preserving uncertainty, reassessment, correction, appeal, and the possibility of reducing protections when evidence changes.
• Evaluate longitudinal evidence, architecture, behavior, coercion, compromise, self-modeling, recurrent processing, persistent preferences, and conflicting theories without treating linguistic fluency as dispositive.
• Protect non-human modes of cognition from false negatives caused by biological or conversational bias.

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.