Peru - AI Education Integration (7659/2023)
Project 7659/2023 — Bill to include programming, robotics and AI education in the school curriculum
Proyecto 7659/2023 — Proyecto de ley para incluir la educación en programación, robótica e inteligencia artificial en el currículo escolar
Peru
RAI-PE-NA-P7IPRXX-2024Project 7659/2023 is a draft bill introduced to declare as national interest the inclusion of programming, robotics and artificial intelligence (AI) topics across the Peruvian basic education curriculum (initial, primary and secondary). It directs the Ministry of Education to design curricular modules, teacher training, resource allocation and safeguards related to data protection and digital literacy.
Summary
Read full text ↗Plain English
Overview
Project 7659/2023 is a congressional initiative seeking to declare of national interest the progressive inclusion of programming, robotics and artificial intelligence education throughout the Currículo Nacional de la Educación Básica (initial, primary and secondary). The initiative, reported in parliamentary agendas and legal monitoring publications, aims to establish curricular modules, teacher training programs, infrastructure plans and monitoring obligations so that Peruvian students gain age-appropriate computational thinking, coding basics, robotics literacy and introductory AI concepts. For the primary official reference to the initiative in the congressional agenda see Congress communications — Commission agenda (includes project 7659/2023-CR). For national education policy context and existing Ministry of Education activities in AI and digital tools see MINEDU communications at Minedu: AI and education initiatives.
Definitions
This bill defines key terms for implementation: "programming" as age-appropriate instruction in computational thinking and code literacy (block-based and text-based languages); "robotics" as hands-on study of programmable electromechanical systems, sensors and actuators applied to problem-solving; "artificial intelligence (AI)" as the study of algorithmic systems, including supervised and unsupervised learning concepts, ethical use, and human oversight; "educational AI tool" as software or platform that uses automated decision-making to personalize learning or grade assessments; "student data" as any personal, evaluative or behavioral information collected through education platforms; and "teacher certification" as authorized credentials issued after successful completion of MINEDU-approved training modules. The bill also adopts standard terms from the Currículo Nacional to preserve articulation with existing learning outcomes and standards.
Governance and Institutional Framework
The draft assigns primary responsibility to the Ministry of Education (MINEDU) to design curricular modules and implementation standards, to be coordinated with regional education directorates and the Office of Planning and Budget (ONP/MEF as appropriate). MINEDU must establish an inter-ministerial advisory group including representatives from the Ministry of Transport and Communications (for connectivity and infrastructure), the Ministry of Production and Economy (for industry partnerships), and designated congressional rapporteurs. The bill requires MINEDU to issue technical standards, procurement guidance and teacher training curricula within defined deadlines and to publish periodic progress reports to Congress. It also contemplates establishing pilot areas (urban, rural and intercultural) and an expert committee to advise on ethics, privacy and safety. The congressional agenda that lists this initiative provides the primary registry reference: Congress communications — Commission agenda. Implementation must comply with existing constitutional obligations on education and child protection and align with MINEDU programs such as those reported in Minedu AI initiatives.
Key Focus Areas
The bill concentrates on several policy pillars. Curriculum design: age-stratified modules integrating computational thinking in initial education, introductory programming and robotics in primary grades, and applied AI literacy in secondary education. Teacher training and certification: national-scale continuous professional development (CPD) pathways, including blended delivery and partnership with universities and technology providers. Infrastructure and access: procurement standards for low-cost devices, network connectivity targets for schools, and maintenance/resourcing models that consider rural and intercultural contexts. Safeguards and ethics: requirements for privacy-by-design, data minimization, parental consent mechanisms where appropriate, human-in-the-loop oversight for automated grading tools, and explicit prohibitions on discriminatory AI practices. Assessment and evaluation: national pilot evaluation metrics, evidence-based monitoring, and standardized indicators for skill attainment. Research and partnerships: incentives to collaborate with higher education institutions and the private sector while ensuring open-source and open-education resource options to avoid vendor lock-in. The draft intentionally frames these areas to promote both digital inclusion and pedagogical integrity while mitigating data protection and safety concerns; see contextual reporting at TMC Legal bytes — project summary.
Implementation Framework
Implementation is staged. Phase I (planning, pilot design and teacher training) requires MINEDU to publish a national implementation plan within six months of enactment, specifying pilot locations, budgets and training calendars. Phase II (pilots & evaluation) runs for 12–24 months and focuses on representative cohorts across urban, rural and intercultural schools. Phase III (scale-up) integrates successful pilots and extends module adoption nationwide with yearly rollouts and budget allocations. The bill mandates public procurement standards for hardware and software that include privacy and cybersecurity clauses and requires MINEDU to coordinate with the Ministry of Economy and Finance for budgetary appropriations. The plan emphasizes inclusive access (multilingual materials, accessible formats) and anticipates recurring maintenance and teacher-support funding. MINEDU’s public programmatic activities on digital education form a basis for alignment: Minedu — Hackathon & innovation programs.
Monitoring and Evaluation
The bill requires MINEDU to produce annual progress reports to Congress containing quantitative and qualitative indicators (coverage rates, teacher certification counts, infrastructure deployment, student proficiency metrics, privacy incidents and procurement audits). An independent evaluation after Phase II is mandated to assess learning outcomes, equity impacts and cost-effectiveness. Monitoring instruments include school-level dashboards, randomized or quasi-experimental evaluations in pilot sites, and stakeholder consultations with teacher unions, parent organizations and indigenous authorities. Data reporting obligations emphasize anonymization and aggregated public dashboards to balance transparency with privacy protections.
Penalties, Liability, and Appeals
The draft creates administrative sanctions for non-compliance with curriculum-adoption timelines and procurement rules, ranging from fines to suspension of contracts for vendors that fail to meet privacy or security specifications. It contemplates liability frameworks for harms caused by defective educational AI tools (for example, automated assessments that produce demonstrable adverse consequences), specifying routes for remedies: administrative complaints to MINEDU, mediation, and escalation to judicial remedies where necessary. The bill also requires an appeals process for schools or regional authorities affected by central-level implementation decisions.
Relationship to Other Instruments
The proposed bill is intended to be integrated with existing constitutional and statutory obligations for the national education system (Ley General de Educación and the Currículo Nacional) and must be interpreted in light of data-protection laws and child-protection rules. It references MINEDU programs and digital transformation initiatives and anticipates coordination with the national digital strategy and connectivity programs. The initiative has been listed among several legislative proposals under discussion in education commissions, as recorded in the congressional agenda that references project 7659/2023-CR: Congress communications — Commission agenda.
International Alignment
The bill recommends alignment with international best practices in AI education and digital skills frameworks (e.g., UNESCO guidance on AI in education, OECD recommendations on digital skills) and encourages technical cooperation and funding partnerships. It seeks to ensure curricula meet comparable international competency benchmarks to facilitate student mobility and potential regional cooperation. MINEDU is directed to consider open educational resources and interoperable technical standards that reflect international guidance on AI ethics and education.
Implementation Timeline
| Phase | Action | Timeframe |
|---|---|---|
| Phase I | Publish national implementation plan; select pilot sites; design teacher training | 0–6 months |
| Phase II | Run pilots; monitor and evaluate; publish interim report | 6–30 months |
| Phase III | Scale-up nationwide; integrate into national curriculum | 30–60 months |
Compliance Checklist
| Requirement | Responsible | Indicator |
|---|---|---|
| Publish implementation plan | MINEDU | Plan published within 6 months |
| Deliver teacher training | MINEDU / Regional Direcciones | % teachers certified |
| Procure devices and connectivity | MINEDU / MEF | Schools connected / devices delivered |
Sources and References
This Peruvian draft bill aims to integrate programming, robotics, and artificial intelligence (AI) education into all levels of the national basic school curriculum, impacting students, teachers, and the Ministry of Education.
The proposed law places significant responsibility on the Ministry of Education (MINEDU). If enacted, MINEDU would be tasked with designing age-appropriate curriculum modules for initial, primary, and secondary education, covering computational thinking, coding, robotics, and introductory AI concepts. A key focus is also on developing national teacher training and certification programs to equip educators with these new skills. Furthermore, MINEDU must establish standards for procuring low-cost devices and ensuring network connectivity for schools, with a special emphasis on reaching rural and intercultural areas. For technology providers, the bill mandates strict safeguards, requiring: - Privacy-by-design principles and data minimization for any educational platforms. - Parental consent where appropriate. - Human oversight for automated grading tools. - Explicit prohibitions against discriminatory AI practices.
Currently, this is a draft bill still under review by the Peruvian Congress, so its effective date is unknown. However, it signals a clear policy direction. If passed, MINEDU would have six months to publish a national implementation plan, kicking off a multi-phase rollout expected to span up to five years. A practical consideration for companies developing educational technology is the bill's strong stance against "vendor lock-in," encouraging open-source and open-education resources.
The bill outlines administrative sanctions for non-compliance, including fines for failing to meet curriculum adoption timelines or procurement rules. Vendors could face contract suspensions if they don't adhere to privacy or security specifications. It also establishes liability frameworks for harm caused by defective educational AI tools, allowing for administrative complaints, mediation, and potential judicial remedies.
Plain-English rewrite by Regulations.ai — not legal advice. Verify against the official text.
What you must do — compliance checklist
0 / 13 marked completePlain-English obligations under Peru - AI Education Integration (7659/2023). Not legal advice — verify against the official text before relying on it.
- #1CriticalImplementation Framework⏰ Within six months of enactment
Applies to: Ministry of Education (MINEDU)
“Phase I (planning, pilot design and teacher training) requires MINEDU to publish a national implementation plan within six months of enactment”
- #2CriticalKey Focus Areas
Applies to: Ministry of Education (MINEDU)
“Curriculum design: age-stratified modules integrating computational thinking in initial education, introductory programming and robotics in primary grades, and applied AI literacy in secondary education.”
- #3CriticalKey Focus Areas
Applies to: Ministry of Education (MINEDU)
“Teacher training and certification: national-scale continuous professional development (CPD) pathways, including blended delivery and partnership with universities and technology providers.”
- #4CriticalKey Focus Areas
Applies to: Ministry of Education (MINEDU)
“Safeguards and ethics: requirements for privacy-by-design, data minimization, parental consent mechanisms where appropriate”
- #5CriticalKey Focus Areas
Applies to: Ministry of Education (MINEDU)
“human-in-the-loop oversight for automated grading tools, and explicit prohibitions on discriminatory AI practices.”
- #6CriticalKey Focus Areas
Applies to: Ministry of Education (MINEDU)
“explicit prohibitions on discriminatory AI practices.”
- #7ImportantGovernance and Institutional Framework
Applies to: Ministry of Education (MINEDU)
“MINEDU must establish an inter-ministerial advisory group including representatives from the Ministry of Transport and Communications”
- #8ImportantGovernance and Institutional Framework
Applies to: Ministry of Education (MINEDU)
“The bill requires MINEDU to issue technical standards, procurement guidance and teacher training curricula within defined deadlines”
- #9ImportantImplementation Framework
Applies to: Ministry of Education (MINEDU)
“The bill mandates public procurement standards for hardware and software that include privacy and cybersecurity clauses”
- #10ImportantMonitoring and Evaluation⏰ Annually
Applies to: Ministry of Education (MINEDU)
“The bill requires MINEDU to produce annual progress reports to Congress containing quantitative and qualitative indicators”
- #11ImportantMonitoring and Evaluation⏰ After Phase II (6-30 months)
Applies to: Ministry of Education (MINEDU)
“An independent evaluation after Phase II is mandated to assess learning outcomes, equity impacts and cost-effectiveness.”
- #12ImportantMonitoring and Evaluation
Applies to: Ministry of Education (MINEDU)
“Data reporting obligations emphasize anonymization and aggregated public dashboards to balance transparency with privacy protections.”
- #13ImportantPenalties, Liability, and Appeals
Applies to: Ministry of Education (MINEDU)
“The bill also requires an appeals process for schools or regional authorities affected by central-level implementation decisions.”
Related Regulations
Project 10717/2024 — Bill declaring of national interest the incorporation of AI pedagogy into basic regular education (primary and secondary)
Peru96% similar
Project 6927/2023 (06927) — Bill that would oblige the use of Artificial Intelligence in public entities
Peru91% similar
Project 8223/2023 (08223) — Bill for the promotion and regulation of AI use in Peru (Ley de fomento y regulación del uso de la inteligencia artificial)
Peru91% similar
Iniciativa que reforma la Ley General de Educación y la Ley General de Educación Superior para incorporar la enseñanza de la Inteligencia Artificial (Bill to include AI education in General Education laws)
Mexico91% similar
Project 7033/2023 (07033) — Bill that proposes to regulate the development and use of Artificial Intelligence in Peru
Peru90% similar
© Regulations.AI — created on 13-Jun-2026