Denmark - AI Strategic Approach

Strategic Approach for Artificial Intelligence

Strategic Approach for Artificial Intelligence (Strategisk indsats for kunstig intelligens)

Denmark

RAI-DK-NA-SAAISXX-2024
Adopted(Adopted)As published at digmin.dk · checked 10 Sep 2026

Denmark - AI Strategic Approach is Adopted in Denmark as of 10 Sep 2026, according to www.digmin.dk.

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Published by the Danish Ministry of Digitalisation on 2 December 2024, this strategic approach sets out three guiding principles and four concrete initiatives to accelerate responsible AI development and deployment in Denmark. Key measures include a Digital Taskforce for public-sector roll-out, a new advisory center for responsible AI, a secure platform for Danish language models, and opening Danish text data to spur domestic model development.

Summary

The Strategic Approach for Artificial Intelligence (Strategisk indsats for kunstig intelligens), published by the Danish Ministry of Digitalisation on 2 December 2024, is a national policy document that outlines Denmark’s vision, principles and near-term initiatives for responsible development and wide uptake of artificial intelligence (AI). The strategy is framed around three retningsgivende principper (guiding principles): (1) AI development and use must place citizens' fundamental rights and Danish values at the center; (2) Danish businesses must remain globally competitive and be given the best opportunities to develop, use and sell responsible AI solutions; and (3) Denmark aims to be world-leading in the public sector’s application of AI to improve welfare services. These principles seek to balance innovation and protection of rights, and they are explicitly linked to Denmark’s commitments within the EU policy ecosystem.

To operationalize the vision, the strategy identifies four concrete initiatives funded within the 2024–2027 allocation (DKK 62.5m): (a) establishing the Digital Taskforce for AI to scale AI solutions across the public sector; (b) creating a research-based Center for AI in Society to provide guidance on responsible use; (c) building a secure platform to accelerate development of transparent Danish language models; and (d) making Danish text data available (open-source or otherwise accessible) to support high-quality, Danish-language AI solutions. The strategy emphasizes public–private collaboration (including with municipalities and regions), investments in datasets and infrastructure, and mechanisms to support SMEs and research institutions.

Though the strategy is a policy publication rather than legally binding regulation, it situates Denmark’s approach in the broader EU regulatory context (notably the pending EU AI Act, GDPR, and Digital Services framework) and signals alignment with international standards. The document also stresses ethical, rights-based considerations—privacy, nondiscrimination, transparency, and accountability—and calls for responsive monitoring, evaluation and coordination with EU instruments. It outlines principles and implementation pathways rather than direct new legal obligations or administrative sanctions. Implementation will rely on a mix of funded programs, advisory services, public procurement, pilot projects and coordination among national agencies and local authorities. The full official publication and press materials are provided by the Ministry of Digitalisation and are available on the ministry website and as a downloadable PDF, which includes detailed descriptions, timelines and governance arrangements. For authoritative reference see the Ministry of Digitalisation’s publication page and the downloadable strategy PDF.

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Overview

The Strategic Approach for Artificial Intelligence was published by the Danish Ministry of Digitalisation on 2 December 2024 and sets a national direction for responsible AI development and application in Denmark. The document frames a three-part vision focused on rights-first AI, competitiveness for Danish business and public-sector leadership. It pairs the vision with four funded initiatives: the Digital Taskforce for AI; a research-based center for AI in society; a secure platform for Danish language models; and increased availability of Danish text data. The official publication and downloadable PDF provide the primary description of scope, resources and the initial roll-out plan; see the Ministry page at Strategic approach publication page and the PDF at Strategisk indsats for kunstig intelligens (PDF).

Definitions

The strategy defines "artificial intelligence" and "generative AI" in plain language for policy audiences, describing AI as systems that perform tasks traditionally requiring human intelligence, and generative AI as models that produce text, images, audio or other content after learning from large datasets. It distinguishes roles (developers, deployers, public-sector purchasers, end-users) and clarifies key terms such as "language model", "training data" and "transparency" for program design and procurement guidance. The definitions are operational and intended to guide implementation rather than to create binding legal classifications.

Governance and Institutional Framework

The strategy establishes an institutional approach that emphasizes cross-government coordination and public–private collaboration. The main governance elements are the Digital Taskforce for AI (to lead large-scale public-sector pilots and deployments in cooperation with KL and Danske Regioner), the proposed Center for AI in Society (a research-backed advisory body to provide guidance on responsible use and ethics), and an organizational coordination role for the Ministry of Digitalisation to oversee the funded initiatives and ensure alignment with EU-level law. The strategy references existing agencies (including the Digital Agency/"Digitaliseringsstyrelsen" and other sectoral authorities) as implementation partners. For official governance descriptions see the Ministry press release and the publication PDF.

Key Focus Areas

The strategy concentrates on four focus areas: (1) Public sector scale-up through the Digital Taskforce to pilot and deploy AI in welfare services and administrative processes; (2) Advisory and evidence-building through the Center for AI in Society, intended to supply guidance, ethical deliberation and research translation for authorities and businesses; (3) Technical infrastructure and sovereignty initiatives, including a secure platform to develop transparent Danish language models that respect privacy and security requirements; and (4) Data availability policy measures to make Danish text data accessible to spur domestic model development and innovation. Cross-cutting priorities include protecting citizens’ rights, ensuring transparency and explainability in public-sector AI, supporting SMEs and research, strengthening procurement practices, and maintaining alignment with EU regulation. The initiatives include investments, capacity-building, and the development of standards and guidance for procurement and ethical use.

Implementation Framework

Implementation is structured around funded projects (2024–2027 allocation), collaborative taskforces, and pilots. The Digital Taskforce model emphasizes targeted deployment projects with measurable outcomes, close involvement of municipal and regional partners, and iterative evaluation. The Center for AI in Society is designed to produce advisory outputs, toolkits and training for authorities and industry. The secure platform for Danish language models will combine technical components, dataset curation and access governance to enable transparent model development appropriate for Danish-language applications. Data access measures include open-release of selected Danish text corpora under terms that consider rights, privacy and licensing. Procurement guidance, standards for documentation and model cards, and recommended safety-testing protocols are signalled as implementation deliverables.

Monitoring and Evaluation

The strategy sets an expectation of continuous monitoring and evaluation through the duration of initial funding (2024–2027) and beyond. Monitoring mechanisms include progress reporting for funded initiatives, measurable KPIs for public-sector deployments (e.g., efficiency gains, quality and user satisfaction), and evaluation of ethical and privacy impacts. The Center for AI in Society will contribute to independent evaluation and dissemination of best practice. The document also commits to coordination with EU reporting and regulatory milestones so Danish monitoring feeds into broader European oversight frameworks.

Penalties, Liability, and Appeals

As a policy strategy (rather than primary legislation), the document itself does not create new punitive rules or administrative sanctioning powers. Instead, it clarifies that legal enforcement and liability remain governed by existing frameworks such as the GDPR, sector-specific law and, once in force, the EU AI Act and other EU digital legislation. The strategy signals that accountability mechanisms—documentation, procurement criteria and compliance checks—will be embedded in public-sector roll-outs and that any non-compliance by suppliers to contractual requirements may be addressed through contract remedies and existing administrative or judicial procedures.

Relationship to Other Instruments

The strategy explicitly situates Denmark’s approach within the EU policy ecosystem, referencing the EU AI Act, GDPR, Digital Services Act and other European initiatives. It is designed to complement Denmark’s broader digital strategy and is aligned with the national digitalisation agenda (the 2023–2027 digitalisation strategy). The strategy also references domestic expert work (e.g., expert groups on copyright and tech-gigants) to ensure consistency across policy areas such as IP, competition and data governance. The document aims to avoid regulatory conflict by favouring programmatic measures, guidance, and alignment with EU regulatory parameters.

International Alignment

Denmark frames the strategic approach as being harmonized with EU regulation and international standards. The strategy explicitly commits to aligning national initiatives with the EU AI Act and to cooperating with Nordic and EU partners on shared infrastructure, data sharing and standards. It identifies the need to remain competitive globally while preserving European values and legal protections; therefore the initiatives include elements intended to reinforce European digital sovereignty (e.g., Danish language model infrastructure) and to participate in international dialogues on AI safety, transparency, and research collaboration.

Implementation Timeline

MilestoneTarget date / period
Political funding allocation for strategic AI initiativesFeb 2024 (budget note)
Press invitation and public presentation29-11-2024 (press invitation)
Publication of strategic approach02-12-2024 (publication)
Initial roll‑out of the Digital Taskforce pilots2025–2026 (phased)
Establishment of Center for AI in Society (set-up)2025
Launch of secure Danish language-model platform (pilot)2025–2026
Evaluation and reporting on initial funded initiatives2026–2027

Sources and References

SourceType
Strategisk indsats for kunstig intelligens – Et styrket fundament for ansvarlig udvikling og anvendelse af kunstig intelligens i Danmark (PDF)Primary Source
Ministry of Digitalisation publication pagePrimary Source
Press release: Ny strategisk indsats skal bane vej for kunstig intelligens i DanmarkPrimary Source

Requirements for a company

What an organisation has to do under Denmark - AI Strategic Approach, at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Not yet in force (Adopted). These requirements apply once the instrument takes effect and may change before then.

Must do

8
  • Conduct a Data Protection Impact Assessment when personal data is involved in AI systems.Public sector entities deploying AI systems.
  • Confirm licensing status for training data and respect intellectual property and privacy obligations.Developers and deployers of AI systems using Danish text data.
  • Ensure AI initiatives and deployments maintain alignment with EU-level law, including the EU AI Act and GDPR.All entities developing or deploying AI in Denmark.
  • Document how citizens’ rights are safeguarded in AI system design and deployment.Public sector entities deploying AI systems.
  • Publish model documentation and purpose statements for public-sector AI deployments.Public sector entities deploying AI systems.
  • Include contractual clauses for documentation, audit rights, and data handling in AI procurement.Public sector entities procuring AI systems.
  • +2 more in the table below

Must not do

0

Nothing in this category.

Should do

2
  • Adhere to recommended standards for documentation and model cards for AI systems.Developers and deployers of AI systems.
  • Follow recommended safety-testing protocols for AI systems.Developers and deployers of AI systems.

Should not do

0

Nothing in this category.

Who must do what

The obligations under Denmark - AI Strategic Approach, most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1Public sector entities deploying AI systems.Conduct a Data Protection Impact Assessment when personal data is involved in AI systems.
“conduct DPIA where personal data are involved”
Before deploying AI systems involving personal dataCompliance ChecklistCritical
2Developers and deployers of AI systems using Danish text data.Confirm licensing status for training data and respect intellectual property and privacy obligations.
“Confirm licensing status for training data and respect IP and privacy obligations”
Before using training dataCompliance ChecklistCritical
3All entities developing or deploying AI in Denmark.Ensure AI initiatives and deployments maintain alignment with EU-level law, including the EU AI Act and GDPR.
“maintaining alignment with EU regulation”
OngoingKey Focus AreasCritical
4Public sector entities deploying AI systems.Document how citizens’ rights are safeguarded in AI system design and deployment.
“Document how citizens’ rights are safeguarded”
Before deploying AI systemsCompliance ChecklistImportant
5Public sector entities deploying AI systems.Publish model documentation and purpose statements for public-sector AI deployments.
“Publish model documentation and purpose statements for public-sector deployments”
Before public-sector deploymentCompliance ChecklistImportant
6Public sector entities procuring AI systems.Include contractual clauses for documentation, audit rights, and data handling in AI procurement.
“Include contractual clauses for documentation, audit rights and data handling”
Before signing AI procurement contractsCompliance ChecklistImportant
7Developers and deployers of AI systems.Conduct safety and robustness testing for AI systems and record results and mitigation steps.
“Conduct safety and robustness testing; record results and mitigation steps”
Before deploymentCompliance ChecklistImportant
8Public sector entities deploying AI systems.Ensure transparency and explainability in public-sector AI systems.
“ensuring transparency and explainability in public-sector AI”
Before deploymentKey Focus AreasImportant
9Developers and deployers of AI systems.Adhere to recommended standards for documentation and model cards for AI systems.
“standards for documentation and model cards...are signalled as implementation deliverables.”
Before deploymentImplementation FrameworkRecommended
10Developers and deployers of AI systems.Follow recommended safety-testing protocols for AI systems.
“recommended safety-testing protocols are signalled as implementation deliverables.”
Before deploymentImplementation FrameworkRecommended

© Regulations.AI · updated on 20 Sep 2026 · reviewed against official sources on 10 Sep 2026