Glossary

LERA, the Linda Energy Reliability Architecture, is a Judgment–Governance Architecture designed to govern execution in high-consequence autonomous systems. It defines a structural layer between reasoning/Agent systems and execution, where proposed actions must be subject to judgment, governance, responsibility, rules, and execution-boundary control before they may proceed.

LERA Institute is the public research, education, and standards-oriented platform for LERA as a Judgment–Governance Architecture. It exists to define, explain, and develop public language around AGI control, execution governance, judgment responsibility, and high-consequence autonomous systems.

LERA Systems is the engineering-oriented counterpart to LERA Institute. While LERA Institute focuses on public definitions, research, education, and standards-oriented language, LERA Systems is intended for technical references, system design, implementation pathways, and future engineering documentation related to LERA.

A Judgment–Governance Architecture is a structural architecture that places judgment and governance between intelligent reasoning and execution. Its purpose is not merely to improve decisions, but to govern whether a proposed action may proceed toward execution, under what authority, with what responsibility, and under which rules.

Execution Governance is the governance of whether, when, and under what conditions a proposed action may proceed toward execution. In LERA, execution governance is the main purpose of the Judgment–Governance Architecture: intelligence may generate proposals, but execution must be governed before action occurs.

AGI Control refers to the governance of AGI systems at the point where intelligence may become action. From the LERA perspective, AGI control is not only about model behavior, alignment, or output quality. It is about governing whether intelligent outputs may cross into execution.

This is a core LERA principle: AGI control becomes meaningful when intelligent outputs are governed before they become real-world actions. The central question is not only whether an AGI system can reason correctly, but whether its proposed action should be allowed to proceed toward execution.

The layer where raw data, signals, inputs, and records are stored or received.

The layer where facts, documents, context, domain knowledge, and experience are organized.

The layer where AI systems reason, plan, recommend, call tools, or generate proposed actions.

The structural layer between Agent systems and execution. It governs whether high-consequence autonomous actions may proceed toward execution.

The layer where real-world action occurs through tools, APIs, machines, infrastructure, capital movement, or physical systems.

The final threshold between governed pre-execution control and actual execution.

Governance that occurs before a proposed action crosses the execution boundary.

The set of judgment, governance, rule, rule-change, and execution-control functions before execution.

The entry principle of the LERA Judgment–Governance Layer. It makes judgment a mandatory precondition before high-consequence execution may proceed.

The public conceptual expression of the Judgment Root Node as the starting requirement for judgment before execution.

The judgment function of LERA. It represents structured judgment over proposed actions at a high level.

The function that evaluates whether a proposed action should be considered reliable, appropriate, and consequence-aware before governance proceeds.

The governance function of LERA. It relates judgment outcomes to authority, responsibility, and whether execution may continue or must stop.

The function that governs authority, responsibility, permission, escalation, and stop/continue decisions before execution.

World Reliability Ruleset. A standards-oriented rule language for high-consequence execution governance.

The function that provides rule-based references, conditions, or constraints before execution.

Rule-Change Control. A governance function for how execution-related rules should be discussed, controlled, and made accountable.

Governance over when, how, and by whom rules may be changed.

Execution Control Stack. The execution-control function of LERA, representing the principle that execution must remain controllable before crossing the execution boundary.

The function that represents control before execution crosses the execution boundary.

An action that may produce significant legal, physical, financial, social, infrastructural, or civilizational consequences.

An action initiated, recommended, selected, or carried out by an autonomous system with limited direct human intervention.

An output, plan, recommendation, or command that may become execution if allowed to proceed.

Execution that is allowed to proceed after passing through judgment and governance conditions.

Execution whose consequences cannot be fully undone once action occurs.

A consequence that affects systems, people, infrastructure, assets, institutions, or the physical world outside the model itself.

Action that affects the external world through physical systems, financial systems, infrastructure, communication systems, or legal/institutional processes.

The condition under which a proposed action may proceed toward execution.

A threshold before execution where judgment, authority, responsibility, and rules must be addressed.

The legitimacy of execution based on judgment, authority, responsibility, and rules.

A governance principle in which high-consequence execution should not proceed unless required conditions are satisfied.

A risky condition in which system outputs move toward execution by default unless stopped.

A governance decision determining whether a proposed action may continue toward execution or must stop.

A public LERA principle stating that high-consequence execution should not bypass the Judgment–Governance Layer. It describes a governance requirement, not an implementation mechanism.

A firm stop decision in which execution must not proceed.

The process of moving a proposed action to a higher level of review or authority when risk, uncertainty, or consequence requires it.

A structured determination of whether a proposed action should proceed, considering risk, consequence, responsibility, and legitimacy.

Judgment that has proper authority, responsibility, and relevance to the consequences of execution.

The authority responsible for making or validating judgment before execution.

Human participation in judgment where responsibility, consequence, and authority cannot be delegated entirely to the system.

The process of clearly assigning responsibility before execution proceeds.

The association of execution permission with proper authority.

The ability to identify who or what is responsible for a judgment, decision, rule, or execution outcome.

A threshold that must be satisfied before a proposed action may proceed.

The condition that applicable rules are valid, relevant, and not improperly changed or bypassed.

An accelerated governance path for lower-risk, reversible, and rule-covered actions.

A stricter governance path for high-risk, irreversible, high-consequence, uncertain, or insufficiently specified actions.

A conceptual classification of the risk associated with a proposed action.

The range of people, systems, infrastructure, assets, or institutions affected by an action.

The degree to which an action’s consequences can be undone or corrected.

The degree to which outcomes, authority, rules, or consequences are not sufficiently clear.

A public analogy for LERA: like a fuse before execution, LERA is meant to prevent unsafe flow when required conditions are not met.

The idea that a governance structure should stand before high-consequence execution, just as a fuse stands before unsafe electrical flow.

A literary and civilizational metaphor for the governed passage between proposed action and permitted execution.

Linda Liu’s literary work that offers a narrative path into the same civilizational question behind LERA: what must stand before execution when intelligence gains the power to act?

A metaphor for the governed passage between intelligence and action.

A boundary point before execution where conditions must be satisfied.

A principle, value, or responsibility that a civilization requires before allowing high-consequence action.