Part V — The Decision Machinery

Derived from Axioms 5 (transparency), 6 (evidence over assertion), 10 (self-correction). This is the engine model5 shows as Evidence → Decision → Review·Pause·Correct, specified in full — including the means/ends frontier, inter-domain conflict, and the governed role of AI.

V.1 The decision loop

Every significant governing decision follows one published loop. The loop is the accountability: each stage produces a public artefact.

MANDATE          What the people have asked for (Part III) within the Charter (Part I)
   ↓
EVIDENCE &       Data, models, scenario testing, risk assessment — with stated
MODELLING        uncertainty and adversarial (red-team) review
   ↓
OPTIONS &        Real alternatives, each with costs, benefits, winners, losers,
TRADE-OFFS       and the assumptions behind them
   ↓
VALUE CHECK      Is this really a technical choice, or a hidden value choice?
   ↓             (If value → escalate to democratic decision, §V.4)
DECISION         A named, accountable choice with published reasoning,
                 assumptions, and trade-offs (§V.3)
   ↓
IMPLEMENTATION   With predicted outcomes recorded in advance
   ↓
MEASURE          Actual outcomes vs prediction, on the outcomes ledger (Part VI)
   ↓
REVIEW·PAUSE·    Error-correction: confirm, adjust, pause, or reverse (§V.7)
CORRECT          → feeds back to MANDATE / EVIDENCE

V.2 Evidence and modelling standards

Because decisions claim to be evidence-based (Axiom 6), the evidence itself is held to a standard:

• Open data and open models. The data, model, and code behind a major decision are public and, where possible, reproducible. "Trust our model" is not acceptable; "re-run our model" is.
• Stated uncertainty. Point estimates without confidence ranges are forbidden for material decisions. Decisions must say how confident they are and what would change the answer.
• Adversarial / red-team review. Major decisions undergo structured challenge by an independent team paid to find the flaw — institutionalised dissent against groupthink (Part IV).
• Falsifiability (Axiom 6). Every decision states what observation would prove it wrong and commits to measuring it (links §V.6, Part VI).

V.3 Stated assumptions and trade-offs — radical transparency of reasoning

This is model5's "stated assumptions and trade-offs", made into a hard rule. Every significant decision publishes, in plain English:

1. The recommendation, in one sentence.
2. The assumptions it rests on.
3. The trade-offs — what is being sacrificed for what, and who benefits and who bears the cost (named groups, not abstractions).
4. The alternatives considered and why they were rejected.
5. The falsification test — what result would mean this was the wrong call.
6. The named decision-owner — the person accountable (no anonymous power, Axiom 4; "the algorithm decided" is never a defence, §V.6).

A decision published without these is procedurally void.

V.4 The means/ends frontier — detecting hidden value choices

The integrity of §0.5 depends on correctly sorting technical questions (experts decide) from value questions (the people decide). The danger is value choices disguised as technical ones — e.g. the discount rate applied to future generations, the acceptable level of risk, the distribution of who-wins-who-loses. These look technical and are actually values.

The value-flagging test. A decision is flagged as a value choice — and escalated out of expert hands — if it materially does any of:

• changes the distribution of benefits/costs between identifiable groups;
• trades present against future citizens (intergenerational, Axiom 13);
• sets a risk tolerance the public would reasonably contest;
• touches a rights or moral question.

Escalation: flagged choices go to the Representative Assembly and/or a Citizens' Assembly (sortition) for the value judgement; experts then execute the chosen means. This is the single most important anti-technocracy mechanism in the model — it stops experts deciding what the country should want by dressing it as arithmetic.

V.5 Inter-domain conflict resolution

Domains will clash — Economy vs Environment, Security vs Liberty, Health vs Economy. A 10/10 model resolves this explicitly rather than leaving it to whoever shouts loudest:

1. Against the mandate. Conflicts are resolved by reference to the people's published priorities (the mandate, Part III) and the wellbeing objective (§0.2), not by inter-departmental power.
2. Cross-domain arbitration. A standing arbitration process weighs the trade-off transparently, applying §V.3 (publish who-wins-who-loses).
3. Value conflicts escalate. If the clash is fundamentally a value trade-off (it usually is), it triggers §V.4 escalation to democratic decision — the experts do not get to pick the winner between competing values.
4. Rights are not balanced away. Where a conflict touches Class A rights, the Charter (Part I) governs absolutely; there is no trade-off to arbitrate.

V.6 The role of AI and computation — augment, never rule

"Given all technological advances" is a core premise — but technology is a tool of governance, never a governor:

• AI is decision-support, not decision-maker. It strengthens evidence, modelling, scenario-testing, anomaly detection, and translation of complexity into plain English. It never holds authority over a citizen.
• A human is always accountable. Every decision has a named human owner (§V.3.6). "The algorithm decided" is never a defence and never a shield from accountability.
• Governed AI (Part VIII). Any AI used in governance must be registered, auditable, explainable, bias-tested, and reproducible. Secret or unexplainable algorithms are forbidden in government (Axiom 5, 7).
• Automation-bias guard. Decision processes are designed so humans genuinely evaluate AI outputs rather than rubber-stamp them; dissent and override must be easy and recorded.
• No autonomous coercive power. No automated system may, on its own authority, deprive a citizen of liberty, money, or rights. A human decides; the system advises.

V.7 Review · Pause · Correct — the error-correction engine

The mechanism that makes the system self-correcting (Axiom 10) rather than ossified:

• Triggers: measured outcomes diverge from prediction; new evidence; detected harm; a failed falsification test (§V.2); a citizen petition above threshold; an Integrity Assembly or Court referral.
• The Pause power: a decision can be paused pending review by the Integrity Assembly, the Court (on legality/rights), or the Assembly (on mandate) — so harm is stopped while the question is reopened.
• Mandatory post-implementation review: every major decision is reviewed against its predicted outcomes on a published schedule. No "decide and forget."
• The error register: mistakes are recorded, openly, and feed learning — because a system that hides its errors cannot correct them (and hiding them is itself a failure mode, §0.6).
• Reversibility by design: decisions are structured, where possible, to be reversible or piloted first, so error is recoverable.

V.8 Speed versus deliberation

The system must be able to move fast without being reckless:

• Standard track: full loop with deliberation — the default.
• Fast track: for time-critical decisions, a compressed loop with a named owner, recorded reasoning, and heightened, mandatory post-hoc review — speed is bought with stronger after-the-fact accountability, never with less transparency.
• Crisis: genuine emergencies are governed separately and bounded hard by Part VII and the Charter's crisis doctrine (§I.6).

V.9 Failure modes and safeguards

Part V ends. Next: Part VI — Integrity, Safeguards & Self-Review: the system's immune system, and the answer to "who guards the guardians".