IEEE Computer Society · Artificial Intelligence Standards CommitteeOfficial IEEE committee site ↗
AISC.Artificial Intelligence
Standards Committee

Four-level framework

Interoperate. Understand.
Trust. Govern.

From interoperability to cognitive sovereignty: a proposed framework for the societal impact of AI standardization.

September 2026 position paper for committee discussion. This is an illustrative portfolio coordination model, not an official ISO/IEC classification or an adopted IEEE requirement.
01

Level 1

Interoperate

Can I connect?

Open interfaces connect agents, tools and services across models, vendors and ecosystems.

Interfaces · Identity · Discovery · Sessions

02

Level 2

Understand

Can we understand each other?

Shared semantics let systems exchange meaning, context and intent—not just messages.

Ontologies · Context · Capabilities · Knowledge

03

Level 3

Trust

Can I rely on you?

Evaluation, evidence and clear responsibility make AI behavior verifiable and accountable.

Evaluation · Safety · Provenance · Evidence

04

Level 4

Govern

Who is ultimately in control?

People and institutions retain authority over knowledge, identity, policies, skills, memory and decisions.

Portability · Oversight · Accountability · Choice

Governance-related projects provide context; cognitive asset portability and provider exit remain proposed areas for exploration.

Value for three constituencies

LevelGovernmentAI producersAI consumers
InteroperateOpen digital infrastructureLarger interoperable marketsChoice and portability
UnderstandConsistent institutional meaningReusable capabilitiesAI that fits local context
TrustMeasurable assurancePredictable requirementsEvidence and accountability
GovernInstitutional autonomyOpen competitionOwnership, agency and control