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An enterprise guide

Super Intelligence Governance

The terminology may change.
Accountability remains.

Know which systems you use, which requirements apply, and what evidence supports each decision.

Explore the framework See Modulos in action
A stylized owl with layered mint feathers and bright eyes against navy, a visual nod to Nick Bostrom’s Superintelligence.
OVERSIGHTCONTROLSEVIDENCE
By Modulos·Updated Sources and further reading

The terminology

Super Intelligence
in context

In the announced US terminology, Super Intelligence refers to AI. Governing these systems means assigning responsibility, assessing risk and keeping evidence of controls and decisions. The phrase also has an established technical meaning.

Announced US terminology

A different name for AI

President Trump has announced “Super Intelligence” as the term for AI in US government documents. This is a terminology announcement; the implementation details need to be established.

Read the AP reporting

Established technical concept

Intelligence beyond human capability

Artificial superintelligence describes systems with capabilities beyond humans. That concept predates this announcement. A new label does not establish a new level of capability.

Explore the technical context

United States · NIST AI RMF

Start with NIST AI RMF

For organisations building a super intelligence governance programme, NIST AI RMF 1.0 offers an established approach to AI risk management. This voluntary US framework connects accountability, system context, evaluation and risk treatment.

Modulos connects that work to owners, controls and evidence so your team can review decisions as systems change.

GovernOwners, policies and oversight across all three functions
Apply the functions throughout the AI lifecycle. Explore each in the docs.
NIST AI RMF, operationalized A brief introduction from Modulos
Explore NIST AI RMF implementation Read the framework documentation

Regulation and standards

Assess the system
under each framework

A change in terminology does not, by itself, change the definitions or obligations in separate laws and standards. Each instrument has its own purpose and scope.

Terminology across governance frameworks
Law or frameworkTerminology and scopeGovernance action
Announced terminologyUS federal terminologySource for US federal terminology“Super Intelligence”

Trump announced a change in terminology for US government documents. The scope and timing of formal implementation need to be confirmed.

Review any implementing direction for the agencies, documents and activities it covers.
RegulationEU AI ActSource for EU AI Act“AI system”

Article 3(1) defines an AI system by its characteristics. Article 2 sets the scope, including the relevant actors and territorial connections.

Assess the system, intended use and your role before determining applicable obligations.
Terminology standardISO/IEC 22989:2022Source for ISO/IEC 22989:2022AI concepts and terminology

A common vocabulary for discussing AI and developing other standards.

Keep terminology consistent in your documentation and record the source of any new term.
Management system standardISO/IEC 42001:2023Source for ISO/IEC 42001:2023AI management system

Requirements for how an organisation establishes, operates and improves its AI management system.

Maintain the management system within its defined scope as your AI use changes.
Voluntary risk frameworkNIST AI RMF 1.0Source for NIST AI RMF 1.0“AI system”

Guidance for managing AI risk in context through Govern, Map, Measure and Manage.

Connect risk decisions to the system’s context and the relevant framework outcomes.

The actions above are Modulos’s interpretation of the cited sources. These frameworks have different scopes; a terminology match does not establish compliance.

Explore the requirementsEU AI Act ISO/IEC 42001 NIST AI RMF

Governance in practice

Build a record
you can stand behind

For organisations deploying AI today, governance means knowing who is responsible and being able to support a decision with evidence.

Systems can gain new capabilities, but their name alone tells you little about their risk. Follow the changes in what they can do, what they can access and how they are used.

Read the AI governance guide
  1. 01

    Identify the system and its use

    Record the model, provider, deployment, intended use and affected people. Include AI embedded in purchased software and agents connected to business tools.

  2. 02

    Establish which requirements apply

    Assess your organisation’s role and the system’s use against each relevant law, standard and contractual commitment. Record the reasoning behind the classification.

  3. 03

    Assign responsibility and controls

    Give each system an accountable owner. Define who approves its use, which controls address its risks and when a finding needs human review.

  4. 04

    Keep evidence connected

    Link policies, test results and decisions to the controls they support. Reuse evidence where requirements overlap, while retaining the distinctions between them.

  5. 05

    Review changes after deployment

    Reassess when the model, permissions, data or intended use changes. More capable systems can require additional evaluations and controls, even when their name stays the same.

The Modulos platform

Connect the system
to its evidence

Modulos brings your AI inventory, requirements, controls and evidence into one governance platform. Owners can see the reasoning and records behind each review.

  • Register systems with an owner and approval state.
  • Map applicable requirements to shared controls.
  • Attach evidence and keep the decision history.
  • Run scheduled checks against connected systems.

Scout helps investigate findings and prepare evidence, but your team decides how to respond.

Explore the platform
Illustrative governance record
AI systemUnder review
Customer support assistant
OwnerCustomer operationsIntended useDraft responses for staff

Requirements

Applicable framework obligations

Scope recorded

Controls

Human review before sending

Owner assigned

Evidence

Policy and approval test results

Sources attached
A person makes the decisionReview the findings. Record the outcome.

Ongoing oversight

Keep pace with
the changes that matter

A formal direction may introduce document requirements. A model update may change system behaviour. Review each change for its effect on your organisation and retain the evidence for your response.

An evidence trail connects system changes to checks and human reviewSystems changeCheckEvidenceReview
Policy and procurement

Formal US implementation

Watch for executive actions, OMB memoranda, agency guidance and procurement provisions. Check their addressees, scope and effective dates.

White House actions
Standards and guidance

Published revisions

Track changes to the instruments you use. NIST states that AI RMF 1.0 is being revised; refer to a specific published version in your records.

NIST AI RMF 1.0
Systems and controls

Changes in actual use

Review new models, data access, permissions and deployments. Link the resulting checks to your controls and update the assessment when evidence changes.

Explore ongoing governance

Questions and answers

Super Intelligence
and AI governance

Terminology, applicability and the work your organisation can do today.

What is super intelligence governance?

In the context of the announced US terminology, super intelligence governance concerns the responsibilities, risk decisions, controls and evidence around AI systems. The same phrase can also refer to governance of hypothetical systems with capabilities beyond humans. This guide focuses on the enterprise governance of AI systems organisations build, buy and use today.

Is Super Intelligence the same as artificial superintelligence?

The context matters. Trump’s announced terminology uses Super Intelligence as a replacement for artificial intelligence in government documents. Artificial superintelligence, often shortened to ASI, has an established technical meaning related to systems exceeding human capabilities. A change in terminology does not establish that such capabilities have been achieved.

OpenAI source
Does the EU AI Act apply to a system called Super Intelligence?

The label alone does not determine applicability. Assess whether the system meets the AI Act’s definition, whether the relevant actors and activities fall within its scope, and which obligations follow from the particular use and classification.

EUR-Lex source
Should we rename our AI policies and inventory?

Preserve the terminology of the laws, standards and contracts your documents reference. If a formal direction applies to your organisation, record the new term and its source alongside the existing vocabulary. A controlled update helps people find the same system and understand which requirements apply.

Can Modulos help with super intelligence compliance?

Modulos supports the governance work around AI systems: maintaining an inventory, assigning owners, connecting requirements to controls, collecting evidence and running scheduled checks against connected sources. Your team reviews findings and decisions. Applicability and conformity still need to be assessed against each relevant instrument.

Sources and further reading

This guide addresses enterprise AI governance. Research into the safety and control of future superintelligent systems involves additional questions beyond this scope.

Govern with Modulos

See your governance
connected in Modulos

Explore how your team can manage requirements, controls and evidence in Modulos.

Request a demo