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Record STMT-WCB8F5ELegally binding

Transparencia, privacidad y ética en la IA

Regulation State lawLatin America and the Caribbean · PEin force

This guidance outlines the requirements for transparency, data privacy, and ethics in artificial intelligence development and use under Peru's AI Law Regulations. High-risk AI systems must inform users of their purpose, functionality, and decision-making capabilities, and data privacy must comply with existing data protection laws. Additionally, developers and implementers are instructed to act with probity, respect human rights, and mitigate algorithmic bias.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Gobierno del PerúGovernment · PE
Lead issuer
Legal forceLegally binding
Under whose authorityState law
Judged fromfull text

Who it governs

General publicCompaniesAI developers and providersAI deployers and users

This document is for developers, implementers, and users of AI systems in Peru who need to understand transparency, privacy, and ethics compliance obligations.

Sectors
Cross-sector

What the document contains

What's covered

The document covers transparency requirements for high-risk AI systems, mandatory compliance with personal data protection regulations, and ethical standards such as diversity, human rights protection, and bias mitigation.

What's missing

The text lacks detailed technical compliance testing methodologies, specific enforcement penalties, and complete definitions of high-risk criteria beyond general mentions.

Key takeaways
  • AI systems classified as high risk must provide prior, clear, and simple information regarding their purpose, how they function, and what decisions they can make.
  • Products, services, or content generated with AI must use visible labeling when appropriate.
  • All AI systems must comply with personal data protection laws by minimizing sensitive data collection and incorporating privacy by design.
  • Developers, implementers, and users must act with responsibility, form diverse teams, and avoid discriminatory biases.
Principles it states
ClaroComprensibleRespetuoso de los derechos fundamentalesTransparenteÉticoProtector de la privacidadProbidad y responsabilidad
Outline
· Transparencia algorítmica
· Privacidad de datos personales
· Ética en la IA
Issued23 January 2026
Length305 words
FormatNot recorded
Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

2/5

Clear responsibility for AI outcomes

Desarrolladores, implementadores y usuarios deben actuar con probidad y responsabilidad

Ética en la IA

screening score · 2026-10-23

Fairness

2/5

Non-discrimination and equitable treatment

Respetar los derechos humanos y evitar sesgos discriminatorios

Ética en la IA

screening score · 2026-10-23

Human Dignity

2/5

Respect for the inherent worth of persons

respetuoso de los derechos fundamentales

Transparencia, privacidad y ética en la IA

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

Transparencia, privacidad y ética en la IA - Orientación

screening score · 2026-10-23

Privacy

4/5

Protection of personal data and private life

Todos los sistemas de IA deben cumplir con la Ley de Protección de Datos Personales (Ley N.º 29733) y su reglamento.

Privacidad de datos personales

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

Si los sistemas se clasifican como riesgo alto se debe informar de manera previa, clara y sencilla al usuario

Transparencia algorítmica

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

Transparencia, privacidad y ética en la IA - Orientación

screening score · 2026-10-23

Impact Assessment

2/5

Required assessment of an AI system's risks/impacts before or during use

Considerar los impactos sociales y ambientales de la IA

Ética en la IA

screening score · 2026-10-23

Topics

transparency privacy ethics high_risk_ai human_rights