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@node-and-norm

NODE & NORM

Independent AI assurance & evaluation research lab. Evidence behind AI-assisted decisions: evaluation, authority, challenge, and correction.

node&norm: independent research on AI and practical human control

Evidence for practical human control

Node & Norm develops methods, structured records, and reference implementations for examining AI-assisted decisions. The technical question is whether a reviewer can reconstruct the evidence, authority, intervention, and resulting action from the preserved record.

The website develops these questions through essays and narratives. This GitHub organization holds the specifications, assessment rules, source records, code, tests, and version histories needed to examine the work.

Choose a technical starting point

Project Technical materials to inspect Research boundary
Trust, Autonomy, and Evidence (TAE) Evidence architecture, claim-to-source records, deterministic assessment logic, historical cases, and mutation controls. Start with the reproducibility guide. Working research. Internal checks and selected historical cases leave independent reliability and contemporary transfer open.
Human Influence Telemetry (HIT) Documentary assessment contract, scoring engine, conformance fixtures, reviewer materials, and claim-evidence gates. Read the research status. Research in progress. Contract stability, internal conformance, and external-rater replication are separate claims; current-contract replication remains unresolved.
Governed Decision Intelligence (GDI) Governed Decision Record schema, gate classification, worked examples, and reference implementation. Start with validation and reproducibility. Open specification and reference implementation. Independent field validation and external conformance acceptance remain open.
Catholic Doctrinal Fidelity Index (CDFI) Domain-specific evaluation governance, scoring configuration, cap rules, judge-reliability protocols, and literature traceability. Evolving. Scoring-contract reconciliation remains open. SAICRED retains its separate project leadership and publication authority.
Regulated Gate Decision Support (RGDS) Decision-log schema, illustrative records, structural validation, and selected semantic checks for regulated phase gates. Reference implementation. Reconstruction speed, field effectiveness, and regulatory outcomes remain unestablished.

The RGDS independent study provides the accompanying exploratory account; its repository preserves the study materials.

Reproduce a result

  1. Read the project's research-status and limitations statements before interpreting its outputs.
  2. Select a tagged release or commit. Record the manuscript, schema, software, and evidence-packet versions separately where the project distinguishes them.
  3. Follow that repository's installation and validation instructions. Retain the command, environment, inputs, and output needed to reproduce a finding.
  4. Inspect negative controls, excluded material, missing evidence, and open exceptions alongside successful checks.
  5. Cite the exact artifact and version. Report a discrepancy through the project's issue or contribution process, with a minimal reproducible example and the affected claim.

Passing software checks establishes the behavior tested under the specified inputs. Claims about source accuracy, reviewer reliability, institutional adoption, or practical benefit require evidence suited to those questions.

Supporting methods

AI Assistance Governance develops a working profile for bounded AI participation, assigned human authority, and dependency assessment. Applied AI Research Translator provides a governed workflow from research inputs to traceable claims, bounded tasks, and human-reviewed decision records.

Each repository maintains its own methods, releases, attribution, license, and correction process. The organization directory is a route into those records; project-level status statements define the scope of their claims.

Research and publication

Researcher: Mark Julius Banasihan.

TAE remains research in progress. The manuscript From Formal Authority to Practical Human Control is in progress with arXiv.org; this states the author's publication plans and does not claim arXiv acceptance. Current archived paper and software versions are linked from the TAE repository.

The About page describes the research purpose and intellectual influences, including Daniel Kahneman's work on judgment and Stuart Russell's work on human control. Those influences frame the questions; the repositories carry the methods and evidence used to examine them.

Essays · Research overview · Research integrity · Brand assets

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  1. governed-decision-intelligence governed-decision-intelligence Public

    Defines the decision layer for AI systems where deployment outcomes are governed, recorded, and reconstructable. 5th conforming implementation of draft-farley-acta-signed-receipts (IETF).

    Python 4

  2. applied-ai-research-translator applied-ai-research-translator Public

    Governed research-to-decision translator for applied AI: safety-policy intake, claim extraction, bounded tasks, human gate, and audit-ready decision records.

    Python 1

  3. rgds rgds Public

    A reference implementation for human-governed, defensible phase-gate decisions in regulated environments (non-agentic, schema-validated).

    Python 1

  4. rgds-ai-governance rgds-ai-governance Public

    Working AI Assistance Governance method/profile for bounded AI participation, assigned human authority, and structural/substantive dependency assessment.

    Python 1

  5. human-influence-telemetry human-influence-telemetry Public

    Open documentary assurance method for evaluating whether human authority retained practical force in AI-mediated institutional decisions.

    Python 1

  6. trust-autonomy-evidence trust-autonomy-evidence Public

    Evidence architecture for justified reliance and practical human control in AI-mediated decisions.

    Python 1

Repositories

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