Portugal - National AI Agenda
National AI Agenda
Agenda Nacional de Inteligência Artificial
Portugal
RAI-PT-NA-ANDIAXX-2025The 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
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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) |
Compliance Checklist
| Requirement | Responsible | Evidence / Action |
|---|---|---|
| Model documentation for publicly funded models | Project owners / AMA / FCT | Release of model cards and datasheets; publication on project portals |
| GDPR compliance for training data | Data controllers / CNPD guidance | Data protection impact assessments; records of processing |
| Ethics and rights impact assessment | Project leads | Published assessment and mitigation plans |
| Security and resilience testing | Infrastructure providers / FCT | Penetration & red‑team reports; continuity plans |
| Procurement with AI risk criteria | Public purchasers | Contracts include audit & liability clauses |
Sources and References
Portugal's National AI Agenda is a draft government strategy aiming to build an ethical and economically transformative artificial intelligence ecosystem by 2030, impacting public bodies, businesses, and researchers across the country. This strategic roadmap, coordinated by the Agência para a Modernização Administrativa (AMA), outlines Portugal's vision for AI development. While not a direct law, it sets the framework for how the government, public institutions, academia, and businesses will engage with AI, particularly those seeking public funding or collaborating on national projects.
The Agenda focuses on three pillars: Talent, Innovation & Research, and Infrastructure. Key recommendations for those involved in Portugal's AI ecosystem include: - Developing a national Large Language Model, named Amália, and participating in a European AI Factory. - Requiring "ethical by design" processes and mandatory model documentation for any AI systems developed or procured with public funds. This documentation should cover datasets, training processes, evaluation metrics, and risk mitigation. - Integrating model safety testing and conformity assessment into public procurement and research and development contracts. - Ensuring all AI initiatives align with existing European Union frameworks, notably the General Data Protection Regulation (GDPR) and the upcoming EU AI Act.
The Agenda is currently in a public consultation phase, which began in January 2025 and concludes with online contributions by February 28, 2025. A more formal public consultation is planned for March 2025, with an operational plan and initial funding calls expected in the second and third quarters of 2025. As a strategic document, the Agenda itself does not impose new administrative penalties. Instead, it emphasizes that any enforceable obligations and penalties will stem from existing laws like the GDPR or the EU AI Act once it comes into force. However, it instructs public bodies to include contractual liability clauses and audit trails for AI systems developed or procured with public money. A key practical takeaway for businesses and researchers is that while this isn't a direct regulation with immediate fines, adherence to its principles will be crucial for securing public funds or participating in national AI initiatives. Specifically, the requirement for comprehensive model documentation and embedding ethical and safety criteria will become de facto standards for public sector engagement.
Plain-English rewrite by Regulations.ai — not legal advice. Verify against the official text.
What you must do — compliance checklist
0 / 12 marked completePlain-English obligations under Portugal - National AI Agenda. Not legal advice — verify against the official text before relying on it.
- #1Critical
Applies to: Data controllers of public sector AI systems.
“GDPR compliance for training data”
- #2Important
Applies to: Agents using public funds for AI development.
“mandatory model documentation for publicly funded models”
- #3Important
Applies to: Project leads of public sector AI systems.
“Ethics and rights impact assessment”
- #4Important
Applies to: Infrastructure providers for public sector AI.
“Security and resilience testing”
- #5Important
Applies to: Public purchasers of AI systems.
“Procurement with AI risk criteria”
- #6Important
Applies to: Public bodies procuring or developing AI systems.
“The Agenda instructs public bodies to ensure contractual liability clauses”
- #7Important
Applies to: Public bodies procuring or developing AI systems.
“The Agenda instructs public bodies to ensure... audit trails”
- #8Important
Applies to: Public bodies procuring or developing AI systems.
“The Agenda instructs public bodies to ensure... redress mechanisms”
- #9Recommended
Applies to: Model developers and procuring entities.
“It also recommends that model developers and procuring entities maintain documentation”
- #10Recommended
Applies to: Model developers and procuring entities.
“recommends that grievance/appeals channels be established for affected citizens”
- #11Recommended
Applies to: Public entities involved in procurement and R&D.
“The Agenda recommends integration of model safety testing... into procurement and R&D contracts.”
- #12Recommended
Applies to: Public entities involved in procurement and R&D.
“The Agenda recommends integration of... conformity assessment steps into procurement and R&D contracts.”
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