Portugal - National AI Agenda
National Artificial Intelligence Agenda
Agenda Nacional de Inteligência Artificial (National AI Agenda / ANI) — planned national AI agenda (in public consultation/auscultation)
Portugal
RAI-PT-NA-ANDIAXX-2025Portugal - National AI Agenda is Draft in Portugal, according to digital.gov.pt. We have not yet been able to confirm the status.
PolicyGovernance and OversightAccountability and DocumentationInternational AlignmentThe Agenda Nacional de Inteligência Artificial is a draft national AI strategy launched by the Portuguese Government as part of its Digital Strategy (Estratégia Digital Nacional). Presented for public auscultation in January 2025, it sets out priorities across Talent, Innovation & Research and Infrastructure, including the development of a national LLM (Amália), an AI Factory participation and increased compute capacity, while aligning with EU regulatory frameworks and fundamental-rights safeguards.
Summary
The Agenda Nacional de Inteligência Artificial (National AI Agenda — ANI) is a draft strategic instrument led by the Government of Portugal and coordinated by the Agência para a Modernização Administrativa (AMA) within the broader Estratégia Digital Nacional. Launched into a nationwide auscultation process in January 2025, the Agenda seeks to define Portugal’s roadmap to 2030 for developing an ethical, scientifically rigorous and competitive national AI ecosystem. The Agenda is structured along three principal axes — Talent, Innovation & Research, and Infrastructure — and is guided by the four strategic dimensions of the Digital Strategy (People, Companies, State and Infrastructure).
During the public consultation phase AMA organised three in‑person sessions (Lisbon, Évora, Porto) in mid‑January 2025 and the Government opened additional participatory channels (Participa.gov.pt from 30 January and a public consultation planned for March 2025). The draft Agenda identifies a set of flagship operational measures for 2025–2026: development and launch of a Portuguese large language model (LLM) often referred to as “Amália”, the implementation/participation in a national interface to a European AI Factory (EuroHPC/AI Factory ecosystem), and acquisition of dedicated computing capacity for AI development. The Agenda also envisages targeted funding and coordination with existing programmes (e.g., FCT, PRR/Plano de Recuperação e Resiliência, COMPETE) to support sector‑specific AI solutions and public sector adoption.
Although the Agenda is strategic rather than a prescriptive regulation, it explicitly commits to align national policy with EU regulatory frameworks (notably the EU AI Act and GDPR), embed fundamental rights and ethics safeguards, require stronger data governance for public sector datasets, and bolster cybersecurity and model safety. The draft foresees institutional governance through a specialised follow‑up committee of experts (chaired by a senior academic figure) and clarifies roles for AMA, FCT and other sectoral bodies. The Government initially planned formal presentation at the end of Q1 2025, but subsequent reporting indicated the formal presentation was postponed amid a governmental transition; nevertheless, the consultation and preparatory work continued and over a thousand contributions were recorded.
Key cross‑cutting elements include workforce development and reskilling programmes; investment in research, open‑source foundations and sectoral pilots (healthcare, public administration, SMEs); operational rules for public procurement and experimentation; transparency and documentation expectations for models developed with public funding; monitoring and impact evaluation metrics; and commitments to international cooperation and alignment. Because the Agenda is a strategy in draft form and was published for public contribution, it does not itself create sanctions but signals future regulatory and funding measures, and it instructs public administrations to prepare for compliance with upcoming EU and national initiatives related to AI governance.
Full article
Read full text ↗Overview
The Agenda Nacional de Inteligência Artificial is a draft strategic roadmap promoted by the Portuguese Government under the umbrella of the Estratégia Digital Nacional — Agenda Nacional de IA. Launched into a process of public auscultation in January 2025 and coordinated by the Agência para a Modernização Administrativa (AMA), the Agenda sets an ambition for 2030 to build an AI ecosystem that is ethical, scientifically excellent and economically transformative. It focuses on three pillars — Talent, Innovation & Research and Infrastructure — and lists operational measures including the national LLM project (Amália), participation in a European AI Factory and acquisition of dedicated computing resources to accelerate public and private sector AI adoption. The document is intentionally strategic and consultative: it collects inputs from citizens, business, academia and public bodies to design a plan of actions for 2025–2026 while aligning with EU frameworks.
Definitions
Key terms in the Agenda follow widely used international definitions: "Artificial Intelligence" covers software and systems that perform tasks normally requiring human intelligence, including machine learning, deep learning, and large language models (LLMs); "AI Factory" refers to high‑performance, shared infrastructure and operational services for training and deploying large models (a concept developed at European level via EuroHPC); "Model documentation" refers to structured records about datasets, training processes, evaluation metrics and risk mitigation; "Public sector AI" denotes AI systems developed or procured by governmental entities to support public services. The Agenda emphasizes "ethics", "fundamental rights" and alignment with the EU AI Act and GDPR as baseline governance anchors.
Governance and Institutional Framework
The draft Agenda assigns central coordination to AMA and foresees operational involvement from the Fundação para a Ciência e a Tecnologia (FCT), sectoral ministries (e.g., Health, Finance), research institutions and supervisory authorities. A specialised Committee of Accompaniment — populated by academics, industry representatives and civil society — was established to advise and validate actions; press coverage and AMA communications named distinguished experts as members. The Agenda proposes formal mechanisms for stakeholder engagement (public auscultation sessions, an online contributions phase via Participa.gov.pt) and envisages joint governance bodies to manage public investments, procurement rules and shared infrastructure. It also anticipates coordination with Portugal’s national data protection authority, the CNPD, for compliance with GDPR-related aspects of public sector datasets and model training.
Key Focus Areas
The Agenda organises actions around three interdependent focus areas. First, Talent: national programmes to reskill public sector workers, expand AI curricula in higher education and attract international researchers. Second, Innovation & Research: funding for academic‑industry consortia, support for SMEs to adopt AI, open research initiatives, and the development of a Portuguese LLM (Amália) with open‑source commitments for public utility. Third, Infrastructure: participation in European AI Factories, procurement of dedicated compute, establishment of experimental platforms and data‑sharing frameworks for responsible model training. Cross‑cutting priorities include: embedding ethical by‑design processes, mandatory model documentation for publicly funded models, sectoral pilots (healthcare, justice, public administration) with rigorous evaluation plans, cybersecurity and resilience measures for model integrity, and international collaboration (EuroHPC, EU research programmes). The Agenda also emphasises alignment with the EU AI Act, GDPR, and other relevant frameworks to ensure legal compliance and cross‑border interoperability.
Implementation Framework
Implementation is proposed through a phased Plan of Action (2025–2026) listing concrete measures, responsible entities, indicative budgets and performance indicators. The FCT is identified to coordinate research and infrastructure projects (including the national LLM and AI Factory participation), while AMA leads operationalisation and public sector adoption. The Agenda recommends the creation of funding calls (PRR/COMPETE/FCT), procurement frameworks that integrate ethics and safety criteria, and capacity building for procurement officers to incorporate AI risk assessments. It supports experimental sandboxes for safe public sector testing and requires agents using public funds to produce model documentation and impact assessments. The Agenda recommends integration of model safety testing and conformity assessment steps into procurement and R&D contracts.
Monitoring and Evaluation
Monitoring is to be performed by a central follow‑up committee reporting to the Government and by designated institutional leads for each action. The Agenda specifies outcome indicators (talent pipeline metrics, number of sectoral pilots, compute hours procured, model documentation completion rates) and process indicators (public contributions received, stakeholder engagement events). It also recommends periodic public progress reports and open monitoring dashboards. Evaluation criteria integrate technical performance, compliance with data protection and fundamental‑rights safeguards, economic impact and uptake by SMEs and public administrations.
Penalties, Liability, and Appeals
As a strategy rather than a legally binding regulation, the draft Agenda does not itself set new administrative penalties. It emphasises that enforceable obligations will follow from applicable laws (e.g., GDPR, sectoral regulation) and from the EU AI Act once in force. The Agenda instructs public bodies to ensure contractual liability clauses, audit trails and redress mechanisms for AI systems procured or developed with public funds. It also recommends that model developers and procuring entities maintain documentation to facilitate investigations and administrative reviews by competent authorities, and that grievance/appeals channels be established for affected citizens under existing legal frameworks.
Relationship to Other Instruments
The Agenda is explicitly nested within the Estratégia Digital Nacional and coordinates with national funding instruments (PRR, COMPETE) and research programmes managed by FCT. It declares intent to align with the EU AI Act and the General Data Protection Regulation (GDPR) implemented by the CNPD. The Agenda also references European initiatives such as EuroHPC / AI Factory networks as part of its infrastructure strategy to ensure cross‑border technical interoperability and shared compute resources.
International Alignment
The Agenda positions Portugal within European ecosystems: participation in a EuroHPC AI Factory consortium, collaborative research across EU programmes and alignment with the EU AI Act and Programme for the Digital Decade. It stresses international cooperation for model safety research, standards development and ethical frameworks (e.g., IEEE, ISO initiatives) and highlights co‑funding opportunities with EU instruments. By fostering open research outputs (where appropriate) and interoperability standards, the Agenda aims to ensure Portuguese models and services can integrate into EU cross‑border services and benefit from shared governance approaches.
Implementation Timeline
| Milestone | Date |
|---|---|
| Start of public auscultation and contributions | 2025-01-01 |
| Public auscultation sessions (Lisbon, Évora, Porto) | 2025-01-15 — 2025-01-17 |
| Online contributions phase opens on Participa | 2025-01-30 |
| Deadline for contributions (participa phase) | 2025-02-28 |
| Public consultation planned (Consultalex) | March 2025 (planned) |
| Initial planned Government presentation of Agenda | 2025-03-31 (planned; later reported postponed) |
| Operational Plan (2025–2026) & first funding calls | 2025 Q2–Q3 (implementation window) |
Sources and References
Requirements for a company
What an organisation has to do under Portugal - National AI Agenda, 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
8- Ensure compliance with GDPR for AI training data.Data controllers of public sector AI systems.
- Produce model documentation for publicly funded AI models.Agents using public funds for AI development.
- Conduct ethics and fundamental rights impact assessments for AI projects.Project leads of public sector AI systems.
- Implement security and resilience testing for AI infrastructure.Infrastructure providers for public sector AI.
- Integrate AI risk criteria into public procurement frameworks.Public purchasers of AI systems.
- Ensure contractual liability clauses for publicly funded AI systems.Public bodies procuring or developing AI systems.
- +2 more in the table below
Must not do
0Nothing in this category.
Should do
4- Maintain documentation to facilitate investigations and administrative reviews.Model developers and procuring entities.
- Establish grievance and appeals channels for affected citizens.Model developers and procuring entities.
- Integrate model safety testing into procurement and R&D contracts.Public entities involved in procurement and R&D.
- Integrate conformity assessment steps into procurement and R&D contracts.Public entities involved in procurement and R&D.
Should not do
0Nothing in this category.
Who must do what
The obligations under Portugal - National AI Agenda, most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | Data controllers of public sector AI systems. | Ensure compliance with GDPR for AI training data. “GDPR compliance for training data” | — | — | Critical |
| 2 | Agents using public funds for AI development. | Produce model documentation for publicly funded AI models. “mandatory model documentation for publicly funded models” | — | — | Important |
| 3 | Project leads of public sector AI systems. | Conduct ethics and fundamental rights impact assessments for AI projects. “Ethics and rights impact assessment” | — | — | Important |
| 4 | Infrastructure providers for public sector AI. | Implement security and resilience testing for AI infrastructure. “Security and resilience testing” | — | — | Important |
| 5 | Public purchasers of AI systems. | Integrate AI risk criteria into public procurement frameworks. “Procurement with AI risk criteria” | — | — | Important |
| 6 | Public bodies procuring or developing AI systems. | Ensure contractual liability clauses for publicly funded AI systems. “The Agenda instructs public bodies to ensure contractual liability clauses” | — | — | Important |
| 7 | Public bodies procuring or developing AI systems. | Ensure audit trails for publicly funded AI systems. “The Agenda instructs public bodies to ensure... audit trails” | — | — | Important |
| 8 | Public bodies procuring or developing AI systems. | Ensure redress mechanisms for publicly funded AI systems. “The Agenda instructs public bodies to ensure... redress mechanisms” | — | — | Important |
| 9 | Model developers and procuring entities. | Maintain documentation to facilitate investigations and administrative reviews. “It also recommends that model developers and procuring entities maintain documentation” | — | — | Recommended |
| 10 | Model developers and procuring entities. | Establish grievance and appeals channels for affected citizens. “recommends that grievance/appeals channels be established for affected citizens” | — | — | Recommended |
| 11 | Public entities involved in procurement and R&D. | Integrate model safety testing into procurement and R&D contracts. “The Agenda recommends integration of model safety testing... into procurement and R&D contracts.” | — | — | Recommended |
| 12 | Public entities involved in procurement and R&D. | Integrate conformity assessment steps into procurement and R&D contracts. “The Agenda recommends integration of... conformity assessment steps into procurement and R&D contracts.” | — | — | Recommended |
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