Argentina - AI Innovation Committee (16/2024)

Overview

Resolución 16/2024 (DGA) establishes the "Comité de Innovación sobre Inteligencia Artificial (IAI)" within Argentina's Dirección General de Aduanas (AFIP) as a coordination and advisory body charged with advancing proposals for the implementation of artificial intelligence to support customs functions. Promulgated on 17 May 2024 and published in the Boletín Oficial on 20 May 2024, the measure explicitly connects to AFIP's "Plan Estratégico 2021-2025" (Disposición N° 212/2021) and to global customs data-analytics initiatives promoted by the World Customs Organization (WCO), including the BACUDA project. The Committee is designed as a time-limited (one-year) but renewable body intended to draw on internal divisions (technical, operational and systems areas) and external stakeholders (trade representatives, academia, public agencies) in order to produce operational proposals, working rules and pilot recommendations for AI-driven data exploitation in customs operations. The resolution designates a named coordinator and provides an institutional channel for consultation and for escalating recommendations to DGA leadership for implementation, while also committing to notify the WCO of the initiative. The full text is available through the official government norm repository at Argentina.gob.ar (Resolución 16/2024) and in the Boletín Oficial entry: Boletín Oficial - Resolución 16/2024.

Definitions

Key terms used or implied in the resolution: "Committee" (Comité de Innovación sobre Inteligencia Artificial, IAI) — the internal, cross-functional coordination body established by the DGA to promote AI proposals; "Coordinator" — the individual designated to lead the Committee's activities (the resolution names Santiago Sebastián Tedoldi); "Working groups" — multidisciplinary teams to be formed from identified agents and contributors with relevant competencies; "Stakeholders" — internal DGA areas, AFIP units, private-sector representatives, chambers, universities and other public agencies with interests in foreign trade operations; "AI-based tools" — algorithms, machine-learning models, data-analytics systems and other software applications that apply statistical, algorithmic or learning methods to support decision-making and operational tasks in customs. The resolution does not specify technical definitions for AI subcategories, data governance terms or risk categories; these are expected to be elaborated by the Committee and through subsequent implementing instruments.

Governance and Institutional Framework

The Committee is prescribed to be chaired by the Dirección General de Aduanas and organized with a named coordinator plus representatives from specified Subdirecciones Generales and Direcciones (Control Aduanero; Operaciones Aduaneras Metropolitanas; Operaciones Aduaneras del Interior; Técnico Legal Aduanera; Reingeniería de Procesos Aduaneros; Coordinación y Evaluación Operativa Aduanera). The resolution invites participation or knowledge-sharing with additional AFIP areas (Asuntos Jurídicos; Recaudación; Fiscalización; Sistemas y Telecomunicaciones) according to their competencies. The Committee must adopt an internal regulation governing session modalities and may convene broadly to include external stakeholders — chambers, associations, universities and other public entities — thereby creating a collaborative governance architecture linking the DGA to the private sector and academia. A dedicated email channel is provided for communications, and the Committee's outputs (recommendations, proposals and conclusions) are to be submitted to DGA leadership and related operational units for decision and implementation. This governance approach aligns with international guidance from the WCO on data-driven customs modernization; see the WCO's data analytics and BACUDA resources at WCO Data Analytics (BACUDA) which the resolution cites as part of its rationale.

Key Focus Areas

The resolution outlines several substantive focus areas for the Committee's work. First, it emphasizes the modernization of data exploitation capabilities — building models and analytics to detect patterns, risks and anomalies in trade transactions to strengthen the customs control system. Second, the Committee should promote process reengineering: identifying opportunities where AI can complement current procedures to increase efficiency while preserving control objectives. Third, capacity building and knowledge transfer are highlighted: the resolution references participation in the WCO BACUDA program (an international capacity-building initiative) and cites the selection of the designated coordinator based on his participation in that program. Fourth, stakeholder engagement: the Committee is empowered to solicit participation from chambers, associations, public agencies and universities to ensure that private-sector and academic expertise feed into proposals and pilots. Fifth, governance and oversight: while direct regulatory requirements for AI systems are not set by this resolution, the Committee's remit includes drafting internal regulations, defining working group compositions and generating recommendations that will inform DGA decisions on technical standards, data governance, testing and phased deployment. Finally, the resolution contemplates international alignment by notifying the WCO about the initiative and drawing on international best practices.

Implementation Framework

Operational implementation is structured around the Committee's working methods. The Committee must draft its internal rules, specifying meeting frequency, decision-making modalities, criteria for forming working groups, and procedures for stakeholder consultation. Identified agents with expertise will be organized into multidisciplinary groups to prototype solutions, define data inputs and outputs, design validation approaches and propose pilot programs. Deliverables from the Committee include: (a) technical proposals for AI pilots; (b) operational recommendations to integrate AI outputs into existing workflows; (c) proposals for training and capacity-building; and (d) suggested governance arrangements, including privacy safeguards, model validation steps and interoperability specifications. The Committee's proposals are advisory; formal implementation decisions, procurement, system commissioning and operational roll-out remain subject to DGA approval and applicable AFIP procurement, IT security and legal frameworks. The Committee is time-limited to one year from signature, with discretionary extension for one additional year, supporting an explicit pilot-to-scale sequencing approach.

Monitoring and Evaluation

Monitoring of the Committee's activity is twofold: internal reporting to the Dirección General de Aduanas and periodic reviews to the Subdirecciones and Direcciones with operational responsibility. The resolution requires that recommendations and proposals be placed before the relevant DGA units so that implementation feasibility, resource needs and risk assessments can be performed. Evaluation metrics are not prescribed by the resolution but would reasonably include pilot accuracy/performance measures (precision, recall or business-impact metrics), data-quality indicators, operational throughput improvements, compliance and false-positive rates, and stakeholder feedback. The Committee is expected to propose monitoring indicators and evaluation methodologies as part of its outputs, including test plans and staged deployment criteria (e.g., shadow mode, limited-scope pilots, progressive rollout) to ensure controlled adoption and performance validation.

Penalties, Liability, and Appeals

Resolución 16/2024 does not itself create a penalty regime or new administrative sanctions tied to AI development or deployment. Instead, the measure establishes an advisory and coordinating Committee; any enforcement, disciplinary or liability consequences arising from the use or misuse of AI systems would continue to be governed by the existing legal and administrative frameworks applicable to AFIP/DGA personnel, public procurement, data protection and customs control activities. The resolution preserves the responsibilities and faculties of other DGA agents and areas (Article 7) and therefore does not alter primary legal responsibilities. Where future technical standards or operational rules produced by the Committee create new compliance obligations, those instruments would need to specify remedies, sanctions and appeals channels in keeping with Argentine administrative law and AFIP internal rules.

Relationship to Other Instruments

The resolution explicitly references AFIP Disposición Nº 212/2021 (the AFIP Strategic Plan 2021–2025) as the domestic strategic context and cites WCO BACUDA and related guidance as international reference points. It does not repeal or supersede existing norms; rather, it functions as an internal organizational measure to coordinate AI-related proposals within the customs service. The Committee's outputs are expected to inform later implementing measures (technical specifications, procurement guidelines, data-sharing agreements, privacy impact assessments) that would operate within existing law. The resolution also mandates notification of the WCO and communications with chambers and public stakeholders, establishing formal linkages for future normative or operational instruments that arise from Committee work. No explicit cross-reference to Argentina's national data-protection law (Law 25.326) is made in the resolution text, but data protection and privacy considerations are legally relevant to any AI deployment and would likely be addressed in Committee work and subsequent implementing instruments.

International Alignment

The regulation situates Argentina's effort within the broader customs modernization movement led by the World Customs Organization. By referencing WCO BACUDA and requiring notification to the WCO, the DGA signals intent to align practices with global data-analytics guidance, share lessons, and potentially reuse or adapt open-source algorithms and methodologies developed by the BACUDA community (e.g., models and toolkits shared via the WCO portal). This international alignment supports capacity building, interoperability with other customs administrations, and adoption of internationally tested techniques for fraud detection and risk management. The Committee's engagement with academic partners and chambers also facilitates adoption of internationally recognized technical standards and best practices for AI validation, transparency and governance.

Implementation Timeline

Sources and References