Norway - AI Regulation (2026)
Artificial Intelligence Act
Kunstig intelligens-loven
Norway
RAI-NO-NA-ARTIINT-2026Norway - AI Regulation (2026) is Draft in Norway as of 10 Sep 2026, according to www.regjeringen.no.
BillGovernance and OversightConformity Assessment and RegistrationThe proposed Norwegian Artificial Intelligence Act (KI-loven) is a draft law to implement the EU AI Regulation (AI Act) into Norwegian law. The proposal adopts a risk-based approach (ban on unacceptable-risk systems, strict rules for high-risk systems, transparency for limited-risk systems) and designates national authorities and implementation measures including a regulatory sandbox and national coordination by Nkom.
Summary
The proposed Artificial Intelligence Act (KI-loven) published for public consultation by the Digitaliserings- og forvaltningsdepartementet on 30 June 2025 implements the EU Regulation on Artificial Intelligence (AI Act / KI‑forordningen) into Norwegian law through incorporation and complementary national provisions. The draft follows the EU structure and adopts the same risk-based framework: it proposes prohibitions for AI applications assessed as posing unacceptable risk, detailed obligations for high-risk AI systems (including conformity assessment, data governance, documentation, human oversight, robustness, cybersecurity and mandatory post‑market monitoring), transparency obligations for limited‑risk systems, and tailored provisions for models for general purpose and foundation models. The draft law addresses national implementation questions falling within Norway’s competence (e.g., law enforcement uses, geographic scope including continental shelf, and whether certain specific national prohibitions should be introduced).
Regulatory roles are allocated to existing Norwegian authorities: Nasjonal kommunikasjonsmyndighet (Nkom) is nominated as the national coordinating market surveillance authority and the national contact point towards EU structures, while sectoral supervisors (including Datatilsynet, Forbrukertilsynet, Helsedirektoratet and other sector regulators) are proposed as market surveillance or reporting authorities for their respective domains. The proposal also foresees a national regulatory sandbox hosted in "KI Norge" at Digitaliseringsdirektoratet (Digdir) to assist testing and safe experimentation.
Key enforcement tools in the draft include administrative sanctions such as overtredelsesgebyr and coercive fines (tvangsmulkt), obligations to cease or modify non‑compliant systems, removal orders, and publication of enforcement actions. The department proposes not to include new criminal offences in the KI‑loven itself, focusing on administrative enforcement, but seeks input on the use of coercive fines, statute of limitations for penalty imposition, and whether to allow overtredelsesgebyr against public bodies.
The draft was published for consultation with a deadline of 30 September 2025. The government indicates an ambition to align Norway’s entry-into-force with the EU timing (main parts expected to apply in summer/August 2026) and to secure adequate resources for authorities (budget allocations and staffing to Nkom, Digdir and Datatilsynet). The høringsnotat and the proposed draft text are published by the ministry and provide extensive commentary on scope, definitions, institutional arrangements and the national choices the department invites comment on.
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Read full text ↗Overview
The Digitaliserings- og forvaltningsdepartementet published a consultation package on 30 June 2025 proposing a new Norwegian law to implement the EU Artificial Intelligence Regulation (AI Act) into national law. The proposal ("KI-loven") would incorporate the EU regulation into Norwegian law and add national provisions where the regulation allows discretion – for example on national competent authorities, enforcement tools and geographic application. The consultation material and draft law are published on the ministry website and include an explanatory consultation page and a full høringsnotat and draft law (PDF) that explain the risk‑based architecture, planned institutional responsibilities, and practical measures such as a national regulatory sandbox hosted in "KI Norge" at Digdir.
Definitions
The draft law adopts the EU AI Act terminology. Central definitions include "AI system" (machine‑based system which may exhibit adaptiveness and infer outputs from inputs), "provider" (entity placing an AI system on the market or putting it into service), "deployer/idriftsetter" (entity operating the system within Norway), "high‑risk AI system" (as defined by sectoral lists in the regulation), "foundation models" and "models for general purpose". The consultation document discusses terminological clarifications and recommends aligned Norwegian translations of the EU text to reduce legal uncertainty.
Governance and Institutional Framework
The department proposes a multi‑agency model: Nasjonal kommunikasjonsmyndighet (Nkom) as the national coordinating market surveillance authority and contact point to EU, sectoral market surveillance authorities for domain-specific high‑risk systems, and Datatilsynet among the market surveillance/competent authorities for certain uses (e.g., law‑enforcement purposes). Digitaliseringsdirektoratet (Digdir) will host "KI Norge", a national arena to provide guidance, capacity building, and a regulatory sandbox for controlled testing. The consultation notes the need for clear allocation of responsibilities, information sharing mechanisms between authorities, and adequate resourcing (the government proposed funding increases and staffing to support the new responsibilities).
Key Focus Areas
The draft law and explanatory note emphasize the following substantive policy pillars: prohibitions of AI practices that present unacceptable risk (such as covert manipulative systems directed at vulnerable groups, certain social scoring or mass biometric remote identification uses), stringent requirements for high‑risk AI systems (data governance, technical documentation, human oversight, transparency, robustness and cybersecurity), transparency obligations for systems with limited risk (e.g., notifying users of AI-generated content), specific measures for foundation models and general-purpose models (including model‑level obligations when system risk arises), and strong post‑market monitoring and incident reporting obligations. The consultation also addresses conformity assessment routes, harmonised standards, CE‑type marking and registry requirements for certain high‑risk systems. The package explicitly highlights data protection, fundamental rights safeguards, and sectoral interfaces (health, finance, employment, law enforcement) as priority areas.
Implementation Framework
The ministry proposes incorporation of the EU regulation into Norwegian law and complementary national provisions where the regulation leaves margin. The consultation describes practical implementation measures: designation of competent and market surveillance authorities (Nkom and sectoral regulators), rules on jurisdictional scope (including discussion on continental shelf application), options for allowing testing in regulatory sandboxes, accreditation of conformity assessment bodies, and the creation of national registers. The draft sets out enforcement tools (overtredelsesgebyr, tvangsmulkt) and contemplates administrative procedures for imposing corrective measures. The consultation seeks feedback on enforcement design choices and on whether to include criminal sanctions.
Monitoring and Evaluation
The draft law foresees post‑market monitoring obligations for providers and deployers of high‑risk systems, reporting of serious incidents and cataloguing of non‑compliances to the responsible market surveillance authorities. National oversight will be coordinated by Nkom and supported by sectoral supervisors; the consultation document stresses inter‑agency information sharing, common reporting formats, and public transparency about enforcement outcomes. The text also anticipates periodic reviews and alignment with EU implementing acts and guidance developed at the EU level.
Penalties, Liability, and Appeals
The proposal relies primarily on administrative enforcement: provision for overtredelsesgebyr (administrative pecuniary penalties), orders to cease or remediate non‑compliant systems, and tvangsmulkt (coercive fines) to secure compliance. The ministry proposes not to introduce new criminal offences in the KI‑law itself and seeks input on limitation periods and the possibility to impose fines on public sector entities. The consultation material addresses procedural safeguards, rights to administrative appeal, and potential judicial review mechanisms.
Relationship to Other Instruments
The draft explicitly aligns with existing Norwegian and EEA instruments: it cross‑references the GDPR (and national data protection rules enforced by Datatilsynet), sectoral health and financial regulation, product safety frameworks, and national procurement rules. It also discusses interplay with proposals for a Digital Services Act (digitaltjenesteloven) and with national rules on law‑enforcement use of AI – including possible targeted adjustments to police legislation to address biometrics and remote identification.
International Alignment
Norge aims to implement the AI Regulation in step with the EU to secure EEA alignment and equal market conditions for Norwegian actors. The consultation invites input on ratification of the Council of Europe’s framework convention on AI and human rights. The ministry highlights coordination with EU bodies (AI Office) and the need to follow EU implementing acts, standards, and guidance to maintain regulatory coherence for cross‑border services, conformity assessment, and TEFs/ sandboxes.
Implementation Timeline
| Event | Date |
|---|---|
| Consultation published (høringsnotat and draft law) | 2025-06-30 |
| Consultation deadline (høringsfrist) | 2025-09-30 |
| Government indicated target for entry into force (main parts) | Planned summer 2026 (EU alignment, August 2026) |
| Nkom designated as coordinating authority (announcement) | 2025-03-21 |
| Funding and establishment of KI Norge announced | 2025-10-15 |
Sources and References
| Source | Type |
|---|---|
| Høring – utkast til ny lov om kunstig intelligens (regjeringen.no) | Primary Source |
| Høringsnotat - Gjennomføring av forordningen om kunstig intelligens (PDF) | Primary Source |
| Nkom – Information about KI and responsibilities (Nkom) | Primary Source |
| Datatilsynet – Høringssvar om KI-forordningen | Primary Source |
| Digdir – Digdir establishes KI Norge | Primary Source |
Requirements for a company
What an organisation has to do under Norway - AI Regulation (2026), at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Not yet in force (Draft). These requirements apply once the instrument takes effect and may change before then.
Must do
12- Do not develop or deploy AI systems that present unacceptable risks.All providers and deployers of AI systems.
- Map AI systems, classify their risk level, and document risk management.All providers and deployers of AI systems.
- Undergo conformity assessment, prepare technical documentation, and obtain a certificate for high-risk AI systems.Providers of high-risk AI systems.
- Apply CE-type marking to compliant high-risk AI systems.Providers of high-risk AI systems.
- Register certain high-risk AI systems with the relevant national registers.Providers of certain high-risk AI systems.
- Adopt data quality and training data provenance policies, and maintain logs for high-risk AI systems.Providers of high-risk AI systems.
- +6 more in the table below
Must not do
0Nothing in this category.
Should do
0Nothing in this category.
Should not do
0Nothing in this category.
Who must do what
The obligations under Norway - AI Regulation (2026), most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | All providers and deployers of AI systems. | Do not develop or deploy AI systems that present unacceptable risks. “prohibitions of AI practices that present unacceptable risk” | Before placing on market or putting into service | — | Critical |
| 2 | All providers and deployers of AI systems. | Map AI systems, classify their risk level, and document risk management. “Risk assessment: Map AI systems; classify risk level; document risk management” | Before placing on market or putting into service | — | Critical |
| 3 | Providers of high-risk AI systems. | Undergo conformity assessment, prepare technical documentation, and obtain a certificate for high-risk AI systems. “conformity assessment routes... for certain high‑risk systems.” | Before placing on market or putting into service | — | Critical |
| 4 | Providers of high-risk AI systems. | Apply CE-type marking to compliant high-risk AI systems. “CE‑type marking... for certain high‑risk systems.” | Before placing on market | — | Critical |
| 5 | Providers of certain high-risk AI systems. | Register certain high-risk AI systems with the relevant national registers. “registry requirements for certain high‑risk systems.” | Before placing on market or putting into service | — | Critical |
| 6 | Providers of high-risk AI systems. | Adopt data quality and training data provenance policies, and maintain logs for high-risk AI systems. “stringent requirements for high‑risk AI systems (data governance...)” | Before placing on market or putting into service | — | Critical |
| 7 | Providers and deployers of high-risk AI systems. | Define human-in-the-loop controls and provide training for operators of high-risk AI systems. “stringent requirements for high‑risk AI systems (...human oversight...)” | Before putting into service | — | Critical |
| 8 | Providers of high-risk AI systems. | Implement measures to ensure the robustness and cybersecurity of high-risk AI systems. “stringent requirements for high‑risk AI systems (...robustness and cybersecurity)” | Before placing on market or putting into service | — | Critical |
| 9 | Providers and deployers of high-risk AI systems. | Establish a monitoring plan and report serious incidents to market surveillance authorities. “strong post‑market monitoring and incident reporting obligations.” | Ongoing | — | Critical |
| 10 | All providers and deployers of AI systems. | Ensure AI systems comply with GDPR, sectoral health, financial, and product safety regulations. “cross‑references the GDPR... sectoral health and financial regulation, product safety frameworks” | Ongoing | — | Critical |
| 11 | Providers and deployers of limited-risk AI systems. | Inform users when interacting with AI and disclose system purpose and limitations for limited-risk systems. “transparency obligations for systems with limited risk (e.g., notifying users of AI-generated content)” | Before putting into service | — | Important |
| 12 | Providers of foundation models and general-purpose models. | Satisfy model-level obligations for foundation models and general-purpose models when system risk arises. “specific measures for foundation models and general-purpose models (including model‑level obligations when system risk arises)” | Before placing on market or putting into service | — | Important |
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© Regulations.AI · updated on 20 Sep 2026 · reviewed against official sources on 10 Sep 2026