Argentina - AI in Education (2504-D-2023)

Overview

Expediente 2504-D-2023 is a national bill introduced on 8 June 2023 to regulate the use of artificial intelligence in Argentine education. The project proposes a comprehensive regulatory regime that applies to all educational levels and institutional types, establishing principles such as transparency, responsibility, equity and protection for children and adolescents. The bill tasks the Ministry of Education with primary authority and foresees coordination with the Consejo Federal de Educación and the Ministry of Science and Technology. The draft text (official PDF) outlines obligations for institutions and AI providers: identification and disclosure of AI systems, informed consent prior to data collection, secure storage and data subject rights, periodic evaluation and mitigation of algorithmic bias, capacity-building for educators, curricular updates and reporting mechanisms. The project's full published draft and explanations are available in the official project document: Project PDF (Exp. 2504-D-2023) and the Chamber of Deputies project page: Chamber of Deputies - Project entry. The bill positions itself with reference to international guidance (e.g., UNESCO guidance on AI and education), linking regulatory aims to the UN SDG 4 objective of inclusive and quality education.

Definitions

The bill defines key terms to delimit scope and obligations: "Artificial Intelligence (AI)" is framed broadly as systems and software capable of tasks that normally require human intelligence, including learning, reasoning and decision-making. "Education assisted by AI" covers uses that complement or enhance teaching and learning (adaptive content, personalized tutoring, automated assessment). "Systems of AI in education" refers to concrete deployed systems in educational programs. "Personal data" is defined consistent with data-protection principles as any information about an identifiable natural person. "Transparency" is explicitly defined as the obligation to inform affected individuals about AI uses, the data processed and the criteria applied. These definitions shape the bill's reach: both providers (private or public) and educational institutions fall within the regulatory perimeter when they deploy AI in an educational context. The bill's definitional approach aims at functional coverage rather than limiting to particular algorithms or techniques, enabling technology-neutral application as AI evolves.

Governance and Institutional Framework

The proposed institutional framework designates the Ministry of Education as the authority of application, with articulation with the Consejo Federal de Educación and coordination with the Ministry of Science and Technology. The Consejo Federal is assigned a central supervisory and advisory role: it must elaborate lineamientos, directrices and orientaciones for compliance and evaluation. The bill foresees multi-level implementation: national policy and guidance are set by the Ministry and the Council, while provincial ministries and educational authorities execute evaluations, capacity-building and supervision locally. Financial responsibility for implementing measures (training, evaluations, procurement of secure infrastructure) is anticipated to be addressed through adjustments to the national budget (Law of Budget of National Administration). The draft sets inter-institutional collaboration (education + science & technology) to combine pedagogical oversight with technical evaluation capacity, and it contemplates recurring reporting, monitoring and the issuance of regulatory documents by the Council and the Ministry to operationalize high-level obligations.

Key Focus Areas

The bill concentrates on several interlocking areas: (1) Transparency and disclosure — institutions and providers must identify AI systems and provide timely, understandable information to students, parents or guardians about AI use and processing purposes; (2) Data protection and consent — informed consent is required prior to collection/processing of student personal data, with explicit rights to access, correction and deletion; (3) Quality, evaluation and bias mitigation — mandatory periodic assessments of AI systems to verify educational efficacy, safety and absence of discriminatory impacts; (4) Curriculum and capacity-building — curricular updates on AI and targeted teacher training via INFOD to ensure educators can use AI ethically and effectively; (5) Monitoring and supervision — the Council and the Ministry must perform periodic reviews and impose corrective measures; (6) Security — storage and protection of personal data against unauthorized access; and (7) Ethics and child protection — special safeguards for children and adolescents to prevent negative impacts and ensure inclusion and equity. Collectively these focus areas reflect a rights-sensitive, pedagogical and safety-oriented approach, prioritizing student protection alongside educational innovation.

Implementation Framework

Implementation is designed as a layered process: first, institutions must register and identify deployed AI systems and notify affected individuals. Second, providers and institutions must establish internal evaluation routines (performance, fairness, safety) and technical controls for data security. Third, the Ministry and the Consejo Federal will develop regulatory documents, technical guidelines and standard evaluation frameworks to guide conformity assessment and reporting. The bill anticipates capacity-building programs led by INFOD and provincial counterparts, and curricular updates to incorporate AI literacy for students. Financing is to be secured through national budget modifications, and the Ministry will coordinate with Science & Technology bodies to provide technical support. The draft leaves scope for implementing regulations and secondary instruments to define procedural details (e.g., templates for informed consent, evaluation metrics, reporting forms, and timelines for audits), specifying that administrative authorities will issue the operational rules necessary to apply the law in practice.

Monitoring and Evaluation

Monitoring includes mandatory, periodic evaluations of AI systems for quality, effectiveness and risk (including algorithmic bias). Educational institutions are required to carry out continuous monitoring and report results to the competent authorities; likewise, the Ministry and the Council shall conduct systematic reviews and aggregate findings to inform policy updates. The bill anticipates technical and pedagogical evaluation criteria, requiring institutions to document performance metrics, update models regularly, and demonstrate mitigation of discriminatory outcomes. Monitoring is both local (institution-led) and centralized (Council/MOE-led), aiming to combine frontline operational oversight with national-level policy assessment. The approach emphasizes iterative feedback — results of monitoring feed into curricular and regulatory updates and inform capacity-building needs.

Penalties, Liability, and Appeals

The published draft emphasizes supervision and corrective action but is not prescriptive about a detailed penalty grid within the text of the PDF: it assigns supervisory and regulatory roles to the Council and Ministry, which implies administrative corrective powers (orders to modify or suspend systems, remediation plans). The bill also articulates obligations that could create civil liability exposure for providers and institutions failing to secure consent or protect personal data. The draft contemplates rights of students (and legal guardians) to request cessation of AI use in their education and to exercise access, rectification and deletion rights. Appeals and due-process mechanisms are expected to be established through implementing regulations and existing administrative law channels. For legal matters involving personal data, the national data protection framework (Law No. 25.326 and related regulatory instruments) remains relevant and would intersect with any enforcement actions under this bill. See the original project text for explicit supervisory and remedial language: Project PDF and the Chamber of Deputies procedural entry: Project entry.

Relationship to Other Instruments

The draft situates itself alongside Argentina's personal data protection regime (Law No. 25.326 on Personal Data Protection) and existing educational regulation frameworks. The law explicitly requires coordination with the Consejo Federal de Educación and anticipates interaction with budgetary law for financing measures. The bill references international instruments and guidance (UNESCO declarations and recommendations) as normative touchstones. Because the draft is technology-neutral and principle-driven, it is designed to complement rather than supersede sectoral laws: where explicit overlaps occur (data protection, child protection, anti-discrimination law), established legal norms will continue to apply and inform enforcement. The draft delegates operational detail to implementing regulations that will need to align these intersecting legal obligations coherently.

International Alignment

The bill explicitly references UNESCO and global educational goals (including SDG 4) and frames Argentina's approach in dialogue with international recommendations for ethical AI in education. International alignment is visible in the emphasis on human-centered AI, equity, transparency and data protection principles consistent with multi-lateral guidance. The proposal underscores participation in international forums and compliance with emerging best practices regarding assessment of AI systems, mitigation of bias and promotion of inclusive education. Official project materials cite UNESCO declarations and conferences as part of the bill's justificatory foundations: see the project foundations in the published PDF: Project PDF, and UNESCO guidance: UNESCO - AI & Education.

Implementation Timeline

Sources and References