Ecuador - AI and Data Protection Bill (2025)

Overview

The AI and Data Protection Regulation Bill is a proposed, risk-based statutory framework that combines two policy tracks: regulation of artificial intelligence systems and reinforcement of data protection obligations where AI interacts with personal data. The instrument builds on recently proposed and active legislative initiatives visible in the official parliamentary docket (see the Asamblea Nacional project: Proyecto de Ley Orgánica de Regulación y Promoción de la Inteligencia Artificial) and the institutional work of the national data protection authority (Superintendencia de Protección de Datos Personales). The Bill’s objective is to maximize social and economic benefits of AI while safeguarding privacy, fundamental rights and security through defined roles, documentation, testing, registration and enforcement.

Definitions

The Bill defines key terms including 'artificial intelligence system', 'machine learning model', 'developer', 'operator', 'controller' and 'processor' aligned with Ecuador's existing data protection terminology. It clarifies 'personal data' and 'sensitive personal data' consistent with the Law on Protection of Personal Data regime and distinguishes 'high-risk AI' (systems with potential to significantly affect rights, safety, or fundamental freedoms) from low-risk advisory tools. Definitions also cover 'explainability', 'model card', 'datasheet', 'impact assessment' and 'audit trail' to ensure consistent compliance expectations across government and private sector actors.

Governance and Institutional Framework

The Bill assigns primary supervisory authority for data-related AI obligations to the Superintendencia de Protección de Datos Personales (SPDP), which already issues binding resolutions, guidance and maintains registers for data controllers. It mandates inter-agency coordination mechanisms with the Ministry of Telecommunications and the national digital transformation authority (see Ministerio de Telecomunicaciones y de la Sociedad de la Información) for policy, capacity-building and technical standards. For market and competition issues, the Bill foresees cooperation with the Superintendencia de Competencia Económica (SCE), which has published internal AI guidance and audit frameworks. The Bill provides for multi-stakeholder advisory committees and principles for independence, transparency and appeals against administrative decisions.

Key Focus Areas

The Bill’s structure covers risk classification; mandatory Data Protection Impact Assessments (DPIAs) where AI processes personal or sensitive data; documentation obligations including model documentation, datasets provenance reports and model cards; mandatory pre-deployment testing for high-risk systems (including safety, fairness and robustness tests); cybersecurity and model-security measures; human oversight requirements; transparency measures for automated decisions and for AI-generated content labeling; access and portability rights for individuals; restrictions on certain uses (for instance intrusive biometric mass surveillance and socially intrusive scoring with legal effects); rules for public-sector procurement and use of AI; conformity-assessment pathways and registration for high-risk systems; and a clear enforcement and sanctions regime. These themes mirror international best-practices and coordinate with the SPDP’s regulatory activity and the SCE’s internal AI guidelines.

Implementation Framework

Implementation is phased: the Bill mandates immediate baseline obligations (e.g., fair processing, security measures, transparency) and a staged timeline for higher-tier obligations — DPIAs and registration start within a defined transitional period. It requires public and private actors deploying high-risk systems to implement comprehensive governance policies, appoint compliance officers or Data Protection Officers (DPOs)/delegates where required, and to submit conformity assessments and technical audit reports to the SPDP or designated conformity bodies. The Bill also contemplates public procurement clauses obliging government bodies to prioritize auditable and documented AI solutions and to ensure contractual clauses include data protection safeguards. Capacity-building funds and technical assistance programs are included to support SMEs and public entities to comply.

Monitoring and Evaluation

Regulators (SPDP and sectoral agencies) will maintain registers and publish periodic reports on audits, complaints, enforcement actions and trends. The Bill requires periodic independent evaluations of regulatory impact and effectiveness, including measurable indicators (number of DPIAs registered, audit results, incidents, sanctions, and time-to-resolution metrics). It also establishes obligations for incident reporting and coordinated responses for security breaches that affect personal data processed by AI systems.

Penalties, Liability, and Appeals

The Bill enacts an administrative enforcement regime including fines calibrated by factors such as severity, intent, the number of affected data subjects and turnover, publication of sanctions registers and orders for remedial measures. It preserves civil liability avenues for damages and ensures procedural safeguards and access to administrative appeal and judicial review. The SPDP is empowered to order suspension of processing or require model rectification for non-compliant high-risk systems.

Relationship to Other Instruments

The Bill expressly references and complements the existing national Law on Protection of Personal Data and its regulatory framework (including SPDP resolutions and the national registry), the Law for Transformation Digital and Audiovisual, procurement rules and sectoral safety rules (health, finance, transport). It mandates harmonization with public-sector security guidelines and creates referral protocols when cases overlap with competition law, financial supervision, or criminal law enforcement.

International Alignment

The Bill aligns with emerging international standards and regional approaches to AI governance and cross-border data protection. It encourages interoperability with international frameworks for data transfers, mutual-recognition of conformity assessments and cooperation on enforcement with foreign supervisory authorities, while preserving Ecuador's constitutional protections and data-localization considerations when necessary for public-safety or sovereignty reasons.

Implementation Timeline

Milestone	Date / Period
Presentation to Asamblea Nacional (reference project)	2024-06-20
CAL unification/authorization for joint process	2025-02-13
Initial SPDP resolutions and guidance (DPIA, contractual clauses)	2024–2025 (ongoing)
Phased compliance start (baseline obligations)	On enactment; certain obligations within 6–12 months
Full conformity and registration obligations for high-risk systems	12–24 months after enactment

Compliance Checklist

Requirement	Action
Data Protection Impact Assessment (DPIA)	Conduct DPIA for high-risk systems; submit to SPDP if required
Model documentation	Maintain model cards, datasheets, provenance of datasets, training logs
Human oversight	Define human-in-the-loop and escalation processes
Security	Implement technical controls, incident response and breach notification
Transparency	Label AI-generated content; inform individuals of automated decision-making
Conformity assessment	Complete internal and/or third-party audits for high-risk systems

Sources and References

Source	Type
Asamblea Nacional – Proyecto de Ley Orgánica de Regulación y Promoción de la Inteligencia Artificial	Primary Source
Superintendencia de Protección de Datos Personales (SPDP) – Sitio institucional y resoluciones	Primary Source
Superintendencia de Competencia Económica (SCE) – Guías y resoluciones sobre IA	Primary Source
Ministerio de Telecomunicaciones y de la Sociedad de la Información (MINTEL)	Primary Source