Law Promoting the Use of Artificial Intelligence (Ley 31814) and Implementing Regulation

Jurisdiction:
Peru
phased enforcement
Effective:
Jan 22, 2026
Full enforcement:
Sep 10, 2029
Authority:
Secretariat of Government and Digital Transformation
Official text

Obligations Covered

Transparency & Disclosure Explainability Record-Keeping & Documentation Human Oversight Risk Assessment

Timeline

MilestoneDateNotes
Ley 31814 passed by CongressJun 13, 2023Promotional framework, 5 articles plus principles
Ley 31814 published in El PeruanoJul 5, 2023In force the day after publication
Reglamento (D.S. 115-2025-PCM) publishedSep 9, 20256 títulos, 36 articles, 6 final provisions
Reglamento final provisions 1, 2, 4, 5 in forceSep 10, 2025Implementation clock, complementary norms mandate, ENIA and ENGD deadlines start
Reglamento in forceJan 22, 202690 business days after publication (Única Disposición Complementaria Final of the decree)
SGTD ethical guidelines due2026-06Within 180 business days of publication (Segunda DCF)
Private-sector tier 1 deadlineSep 10, 2026AI uses in health, education, justice, security, economy and finance (Primera DCF)
Private-sector tier 2 deadlineSep 10, 2027Transport, commerce, labour; also small enterprises (ventas 150–1,700 UIT) in any sector
Private-sector tier 3 deadlineSep 10, 2028Production, agriculture, energy, mining; also microenterprises (up to 150 UIT)
Private-sector tier 4 deadlineSep 10, 2029All remaining uses nationwide

Related Regulations and Standards

Related instruments are selected from shared compliance obligations and jurisdiction coverage.

Algorithmic Transparency for High-Risk AI #

Obligation:
Transparency
pending
Effective:
Sep 10, 2026
Risk tier:
high-risk
Scope:
Private-sector and public developers (desarrolladores) and deployers (implementadores) of high-risk AI systems (Reglamento Arts. 3, 6(b), 6(d), 25.1)
upcoming
The Reglamento is in force since 2026-01-22, but the Primera Disposición Complementaria Final phases private-sector compliance with Art. 25 and Título VI Cap. II by sector: health, education, justice, security, economy and finance by 2026-09-10; transport, commerce and labour by 2027-09-10; production, agriculture, energy and mining by 2028-09-10; everything else by 2029-09-10. Small enterprises get until 2027-09-10 and microenterprises until 2028-09-10 regardless of sector. SGTD lineamientos on algorithmic transparency (Art. 25.4) are still pending.

Requirements

RequirementDetails
Prior plain-language noticeArt. 25.1: developers or deployers of a high-risk system must inform the user beforehand, clearly and simply, of the system's purpose, main functionalities, and the type of decisions it can take, while respecting industrial and commercial secrecy
Visible AI labellingArt. 25.2: where relevant to the decision or interaction, visible labelling must tell users in advance that the product, service or content operates on AI, sufficient for the public to understand the system's main capabilities and functional limits; internal administrative uses without direct impact on rights are exempt
SGTD transparency guidelinesArt. 25.4: the SGTD approves algorithmic transparency lineamientos in concert with competent SNTD entities

Penalties

ViolationFine
No administrative finesNeither Ley 31814 nor the Reglamento creates a sanctions regime; the SGTD refers noncompliance to competent authorities (Arts. 34, 36.2), and data-protection breaches fall under the Ley 29733 sanctions regime (Art. 26.2)

Explanation of Rights-Affecting Automated Decisions #

Obligation:
Explainability
pending
Effective:
Sep 10, 2026
Risk tier:
high-risk
Scope:
Private-sector and public developers and deployers of high-risk AI systems whose decisions impact human rights (Reglamento Arts. 25.1, 25.3)
upcoming
Same sector phase-in as the rest of Art. 25: earliest tier (health, education, justice, security, economy, finance) by 2026-09-10, remaining sectors through 2029-09-10, with extended MYPE deadlines.

Requirements

RequirementDetails
Explanation of outcomesArt. 25.3: where the system takes decisions that impact human rights, affected users must be guaranteed an explanation of its results, through mechanisms that make the key criteria and factors behind the automated decision comprehensible in accessible language

Penalties

ViolationFine
No administrative finesReferral-based enforcement only (Reglamento Arts. 34, 36.2); no AI-specific sanctions regime

High-Risk System Records, Policies, and Staff Training #

Obligation:
Record Keeping
pending
Effective:
Sep 10, 2026
Risk tier:
high-risk
Scope:
Private-sector developers and deployers of AI systems (Título VI Cap. II); the record duty of Art. 31.1 attaches only to high-risk systems, the policy and training duties of Arts. 31.2–31.3 to developers and deployers generally
upcoming
Part of Título VI Cap. II (private-sector obligations), phased in by sector from 2026-09-10 to 2029-09-10 under the Primera Disposición Complementaria Final. Public administration entities carry parallel and stricter duties under Cap. I (Arts. 28–30), including mandatory NTP-ISO/IEC 42001 use and a mandatory (not voluntary) impact assessment — those public-sector duties are noted here but not modelled as separate provisions.

Requirements

RequirementDetails
Up-to-date high-risk recordArt. 31.1: for high-risk systems, maintain a current, accessible, prevention-oriented record of the system's operating principles, the data sources used, the algorithm's logic, and the expected social and ethical impacts
Governance policiesArt. 31.2: establish clear policies, protocols and procedures preserving security and privacy, promoting transparency and explainability, and guaranteeing responsibility and accountability, by reference to international technical standards
Staff educationArt. 31.3: foster internal education and awareness of collaborators on AI risks and on safe, responsible and ethical adoption under the organisation's approved institutional policy

Penalties

ViolationFine
No administrative finesReferral-based enforcement only (Reglamento Arts. 34, 36.2); no AI-specific sanctions regime

Human Oversight of High-Risk Decisions #

Obligation:
Human Oversight
pending
Effective:
Sep 10, 2026
Risk tier:
high-risk
Scope:
Private-sector developers and deployers of high-risk AI systems taking decisions with significant impact in health, education, justice, finance, and access to basic programmes and services (Art. 31.4); public entities carry the mirror duty under Art. 28.11
upcoming
Sector phase-in from 2026-09-10 to 2029-09-10 as for the rest of Título VI Cap. II. The anti-automation-bias training requirement is unusually explicit: staff must be trained specifically so as not to be biased by the system's outputs.

Requirements

RequirementDetails
Human oversight mechanismsArt. 31.4: implement human supervision mechanisms over decision-making that could significantly impact health, education, justice, finance, or access to basic programmes and services
Anti-automation-bias trainingArt. 31.4(i): overseeing personnel must be trained in the subject matter so as not to be biased by the AI system's results
Stop and override powerArt. 31.4(ii): overseeing personnel must have the capacity to stop, correct, or invalidate the AI system's decisions

Penalties

ViolationFine
No administrative finesReferral-based enforcement only (Reglamento Arts. 34, 36.2); no AI-specific sanctions regime

High-Risk Impact Assessment (Voluntary, Documented) #

Obligation:
Risk Assessment
pending
Effective:
Sep 10, 2026
Risk tier:
high-risk
Scope:
Private-sector developers and deployers of high-risk AI systems (Título VI Cap. II); for public administration entities the equivalent assessment under Art. 30 is mandatory
upcoming
The private-sector assessment is explicitly voluntary ("de manera voluntaria", Art. 32.1) — a deliberate asymmetry with the mandatory public-sector assessment of Art. 30.1. The binding edge is documentary: whoever performs one must retain the findings for three years as evidence producible to judicial or administrative authorities. SGTD recognition incentives (Art. 32.4) and reference guidance (Art. 32.5) frame it as promoted practice.

Requirements

RequirementDetails
Voluntary pre-deployment assessmentArt. 32.1: before developing or implementing a high-risk system, an impact analysis may be performed voluntarily to identify and minimise potential risks, avoid harm to fundamental rights, and prevent perpetuation of inequality or bias
Proactive mitigationArt. 32.2: where risks to human rights or erroneous automated decisions are detected, the developer or deployer adopts proactive mitigation measures before final implementation — model adjustments, data-quality improvement, human oversight mechanisms
Three-year documentation retentionArt. 32.3: those who perform an assessment must document findings and corrective measures and retain the documentation for at least three years from issuance, as traceability and as evidence if required by a judicial or administrative authority

Penalties

ViolationFine
No administrative finesReferral-based enforcement only (Reglamento Arts. 34, 36.2); no AI-specific sanctions regime
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Attribution: EveryAILaw, PAICE.work PBC. “Law Promoting the Use of Artificial Intelligence (Ley 31814) and Implementing Regulation”, EveryAILaw.com, Aug 2, 2026. https://everyailaw.com/regulation/pe-ai-law/

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