Argentina - AI Program Creation (14/25)
Resolution PGN 14/25 – Creation of the Artificial Intelligence Program of the Public Prosecutor's Office
Resolución PGN 14/25 – Creación del Programa de Inteligencia Artificial del Ministerio Público Fiscal
Argentina
RAI-AR-NA-RP1CDXX-2025Resolución PGN 14/25 (14 May 2025) establishes the Programa de Inteligencia Artificial within Argentina's Ministerio Público Fiscal (MPF). The resolution creates an institutional, cross-cutting program to design strategy, propose technical and ethical standards, vet AI projects, issue protocols and provide training while aligning MPF practices with international AI governance instruments.
Summary
Resolución PGN 14/25, issued by the Procuración General de la Nación on 14 May 2025, formally creates the Programa de Inteligencia Artificial (AI Program) of the Ministerio Público Fiscal (MPF) of Argentina. The regulation responds to the MPF's ongoing digital transformation and increasing volumes of structured institutional data, and it seeks to harness AI to strengthen substantive functions, optimize internal processes, and improve service delivery while safeguarding fundamental rights. The resolution invokes constitutional and statutory authority and references national and international instruments (including UNESCO, OCDE, EU AI regulatory frameworks and Council of Europe instruments) as guiding principles. The Secretary of Institutional Coordination is assigned responsibility for developing and following the Program, in coordination with the Disciplinary and Technical and Administration & Human Resources Secretariats. The Program’s core duties include: designing an institutional strategy for AI adoption across MPF units; proposing institutional lines, technical standards and ethical principles for the design, procurement, implementation, evaluation and use of AI tools; conducting needs assessments and identifying priority areas; receiving and evaluating AI project proposals from MPF dependencies; promoting projects aligned with MPF strategic objectives; producing protocols and good-practice guides; performing follow-up, monitoring and evaluation of projects; delivering training and capacity-building for MPF agents; and promoting collaboration with domestic and international public agencies, academia, civil society and private actors. The Resolution highlights specific risks posed by AI, including opacity, bias, limits of traceability for generative AI, data protection issues, system security and the need to preserve meaningful human oversight. It explicitly situates the Program within a risk-management paradigm grounded in proportionality: higher-risk systems will trigger more demanding legal, technical and organizational requirements. The instrument does not create numerical thresholds or sectoral carve-outs but establishes an institutional mechanism to screen, review and coordinate AI applications inside the MPF. It invites all MPF dependencies to present AI projects for review. Operationalization, standards, disciplined oversight, and any sanctions will rely primarily on existing MPF internal rules and the competencies of the Secretariats involved. The resolution is complemented by MPF communications (project survey launched August 11, 2025) and cooperation agreements (for example, with UNESCO) to assist ethical adoption and capacity building. The measure aims to foster an orderly, transparent and rights-respecting approach to AI use in public prosecutorial functions while aligning with global standards for ethical, secure and accountable AI deployment.
Full article
Read full text ↗Overview
Resolución PGN 14/25 (Buenos Aires, 14 May 2025) formally creates the Programa de Inteligencia Artificial for the Ministerio Público Fiscal (MPF). The text explains the institutional rationale—rising volumes of digital information, prior digitization efforts (Coirón, SINOPE) and the opportunity to improve operational efficiency—while stressing legal, ethical and technical constraints. The Program is charged with designing strategy, issuing technical and ethical standards, receiving and evaluating project proposals and implementing monitoring, training and inter-institutional cooperation. The resolution expressly draws on international instruments and domestic guidelines, including the UNESCO ethics recommendation and the EU and Council of Europe frameworks. The full text is available from the MPF archive (MPF – Resolución PGN 14/25 (PDF)) and the MPF news page (MPF news – IA institutional survey).
Definitions
The resolution adopts working definitions aligned with major international instruments: "intelligence artificial" is defined as technologies and algorithmic/mathematical models that process data to produce inferences, predictions, recommendations, decisions or content that may affect physical or digital environments with varying levels of autonomy and adaptability. It distinguishes generative AI platforms (text, image or video generators) for which additional traceability and authenticity concerns apply, and situates AI as including both statistical/ML models and more complex adaptive systems. The Program is defined as a cross-cutting institutional structure (not an external regulatory agency) tasked with coordination, standard-setting, evaluation and capacity-building. Key operational concepts used throughout the instrument are: "control human significant" (meaningful human oversight), "risk-based approach" (classification of systems by potential harm to rights/interests), "traceability" (audit logs and data provenance) and "data protection" (compliance with Argentina’s personal data protection framework).
Governance and Institutional Framework
Article II–III of the resolution assigns the Secretary of Institutional Coordination (Secretaría de Coordinación Institucional) responsibility for developing and following the Program, with operational cooperation from the Secretariats of Disciplinary Affairs and Technical & Administration and Human Resources. This design creates an internal governance triangle combining strategic direction, technical oversight and disciplinary review. The Program's remit is transversal: it must interact with prosecutors’ offices and technical teams across the MPF, channeling legal expertise and technical advice into project selection, evaluation and lifecycle management. The resolution situates the Program within existing institutional structures—rather than creating a separate independent regulator—and therefore relies on the PGN's authority to set institutional policy. For more on the MPF's public communications about the Program, see the MPF portal (Ministerio Público Fiscal) and the specific news release on the Program’s creation (MPF – UNESCO cooperation announcement).
Key Focus Areas
The Program’s mandated functions (Resolution clauses III a–i) identify several focus areas. First, institutional strategy and planning to integrate AI across MPF missions. Second, technical and ethical standard-setting for design, acquisition, implementation and evaluation. Third, needs assessment and prioritization of use cases, including administrative management, investigative analytics, pattern detection and citizen-facing services. Fourth, project intake and review: dependencies are invited to submit projects for analysis under criteria established by the Program. Fifth, creation of protocols and good-practice guides to operationalize human oversight, data governance, explainability, testing and documentation. Sixth, monitoring and evaluation: lifecycle supervision, outcome evaluation and impact assessment. Seventh, capacity-building: training programs for prosecutors, technical staff and administrators. Eighth, collaboration: the Program must cultivate ties with national actors (e.g., Agencia de Acceso a la Información Pública, Subsecretaría de Tecnologías) and international bodies (UNESCO, OECD), as well as academia, civil society and private-sector partners. These focus areas reflect an integrated governance posture: combining policy, technical standards, risk mitigation and transparency measures to ensure AI serves institutional objectives while protecting rights.
Implementation Framework
Operationalization depends on internal MPF procedures. The Program will develop criteria to evaluate project proposals, including risk classification (impact on rights and institutional interests), data quality and provenance, privacy compliance, security and resilience, human-in-the-loop design and auditability. Procurement and contracting of AI systems must integrate technical specifications, obligations for vendors to provide documentation, and contractual clauses addressing data protection and security. The resolution invites dependencies to present proposals and authorizes the Program to propose standardized protocols and templates for tendering, testing and deployment. Implementation will also require internal interoperability (e.g., with Coirón and SINOPE), secure data-sharing agreements, and alignment with national guidance from the Subsecretaría de Tecnologías de Información and the Agencia de Acceso a la Información Pública. Where systems implicate personal data, the Program must ensure compliance with Law No. 25.326 (Personal Data Protection) and internal MPF data policies.
Monitoring and Evaluation
The Program has explicit monitoring, follow-up and evaluation duties (III g). Monitoring includes technical performance checks, assessment of outcomes against objectives, documentation and audit logs for traceability, periodic reviews of model drift and updates, and evaluation of impacts on due process and rights. The Program will produce reports and recommendations to the PGN and may maintain a registry or inventory of approved AI projects and their key risk mitigations. Evaluation metrics should combine technical indicators (accuracy, false positives/negatives, robustness tests), process indicators (adherence to procurement and testing procedures) and rights-based metrics (disparate impact, privacy incidents, complaints received). The MPF also conducted an institutional survey (launched 11 August 2025) to inform baseline needs and priorities (MPF – institutional survey (11.08.2025)).
Penalties, Liability, and Appeals
The resolution itself does not prescribe new sanctions but locates oversight and disciplinary involvement within existing MPF frameworks; the Secretariats Disciplinaria and Technical will intervene according to their competencies. Consequently, legal and administrative liability, disciplinary sanctions and appeals will be applied under preexisting statutes and MPF internal rules (the resolution cites Law No. 27.148 and other resolutions as legal bases). Where projects contravene data protection obligations or cause rights violations, established administrative or disciplinary procedures may apply; civil or criminal liability would proceed according to applicable national legislation. The Program’s manuals and procurement templates are expected to embed contractual remedies and vendor obligations to allocate operational risk and support remediation.
Relationship to Other Instruments
The resolution cross-references a range of national and international guidance: UNESCO’s AI ethics recommendation and judicial AI toolkit; the OECD AI Recommendation; the EU AI legislative framework and Council of Europe instruments. Domestically, it builds on MPF prior resolutions (e.g., Coirón adoption: PGN 320/2017, mandatory electronic filing: PGN 22/2020) and national guidance on trustworthy AI issued by the Subsecretaría de Tecnologías de Información and the Agencia de Acceso a la Información Pública. The Program is explicitly designed to harmonize MPF practice with these instruments while remaining an internal coordination mechanism for the MPF's operational needs.
International Alignment
The Resolution acknowledges and seeks alignment with international normative developments: UNESCO (ethics recommendation, judicial toolkit), OECD (AI principles), EU Regulation (Regulation (EU) 2024/1689 and the Union’s AI law) and Council of Europe instruments on AI, rights and the rule of law. It also anticipates cooperation agreements (e.g., with UNESCO) to support training and ethical advisory services. International alignment aims to adopt principles such as human oversight, non-discrimination, privacy protection, transparency, technical robustness and accountability and to benefit from comparative testing frameworks and capacity-building programs.
Implementation Timeline
| Milestone | Target / Date |
|---|---|
| Promulgation of Resolución PGN 14/25 | 2025-05-14 |
| Internal designation of Program team and Secretariats | Q2–Q3 2025 (immediate) |
| Institutional baseline survey launched | 2025-08-11 |
| Initial protocols and intake templates (first version) | Q4 2025 |
| First cycle of project intake and evaluation | Q1 2026 |
| Pilot deployments and monitoring reports | 2026 (first half) |
Sources and References
| Source | Type |
|---|---|
| Resolución PGN 14/25 (MPF) – PDF (14 May 2025) | Primary Source |
| MPF news – Institutional survey on AI (11 Aug 2025) | Primary Source |
| UNESCO – Survey on the Use of AI Systems by Judicial Operators / AI ethics guidance | Secondary Source |
Requirements for a company
What an organisation has to do under Argentina - AI Program Creation (14/25), at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Must do
8- Submit detailed AI project proposals to the Program for analysis.MPF dependencies proposing AI projects.
- Complete a risk classification and mitigation plan for AI projects.MPF dependencies proposing AI projects.
- Demonstrate compliance with personal data protection laws.MPF dependencies using AI systems with personal data.
- Document human-in-the-loop controls and decision escalation for AI systems.MPF dependencies deploying AI systems.
- Provide test plans, performance metrics, and audit logs for AI systems.MPF dependencies deploying AI systems.
- Include documentation and liability clauses in AI system procurement contracts.MPF dependencies procuring AI systems.
- +2 more in the table below
Must not do
0Nothing in this category.
Should do
1- Participate in AI capacity-building and training programs.MPF prosecutors, technical staff, and administrators.
Should not do
0Nothing in this category.
Who must do what
The obligations under Argentina - AI Program Creation (14/25), most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | MPF dependencies proposing AI projects. | Submit detailed AI project proposals to the Program for analysis. “Dependencies present detailed proposal to Program intake board” | Before placing on market | Key Focus Areas / Compliance Checklist | Critical |
| 2 | MPF dependencies proposing AI projects. | Complete a risk classification and mitigation plan for AI projects. “Complete risk classification and mitigation plan” | Before placing on market | Implementation Framework / Compliance Checklist | Critical |
| 3 | MPF dependencies using AI systems with personal data. | Demonstrate compliance with personal data protection laws. “Demonstrate GDPR-style/data protection law compliance and DPIA if necessary” | Before placing on market | Implementation Framework / Compliance Checklist | Critical |
| 4 | MPF dependencies deploying AI systems. | Document human-in-the-loop controls and decision escalation for AI systems. “Document human-in-the-loop controls and decision escalation” | Before placing on market | Key Focus Areas / Compliance Checklist | Critical |
| 5 | MPF dependencies deploying AI systems. | Provide test plans, performance metrics, and audit logs for AI systems. “Provide test plans, performance metrics and audit logs” | Before placing on market | Monitoring and Evaluation / Compliance Checklist | Important |
| 6 | MPF dependencies procuring AI systems. | Include documentation and liability clauses in AI system procurement contracts. “Include documentation and liability clauses in contracts” | Before contract signing | Implementation Framework / Compliance Checklist | Important |
| 7 | MPF dependencies developing or using AI systems. | Ensure high data quality and document data provenance for AI systems. “The Program will develop criteria to evaluate project proposals, including... data quality and provenance” | Before placing on market | Implementation Framework | Important |
| 8 | MPF dependencies developing or using AI systems. | Implement robust security and resilience measures for AI systems. “The Program will develop criteria to evaluate project proposals, including... security and resilience” | Before placing on market | Implementation Framework | Important |
| 9 | MPF prosecutors, technical staff, and administrators. | Participate in AI capacity-building and training programs. “training programs for prosecutors, technical staff and administrators.” | — | Key Focus Areas | Recommended |
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