Costa Rica - AI Regulation Bill
Law Regulating Artificial Intelligence in Costa Rica
Ley de Regulación de la Inteligencia Artificial en Costa Rica
Costa Rica
RAI-CR-NA-AILAXXX-2023Costa Rica - AI Regulation Bill is Under Review in Costa Rica as of 9 Sep 2026, according to asamblea.go.cr.
BillGovernance and OversightRisk ManagementAccountability and DocumentationThe Artificial Intelligence Regulation Bill regulates AI systems in Costa Rica by establishing a supervisory authority empowered to audit systems for bias and human rights compliance. Submitted to the Legislative Assembly on May 30, 2023, the proposal remains under review.
Summary
The Artificial Intelligence Regulation Bill, introduced in Costa Rica's Legislative Assembly on May 30, 2023, represents a unique approach to AI governance as the entire bill was drafted with assistance from ChatGPT-4. Led by Congresswoman Vanessa Castro, this legislative initiative aims to establish a comprehensive framework for regulating artificial intelligence systems in Costa Rica.
The bill gained international attention not only for its content but for its innovative drafting process, sparking debate among legal experts and technologists about the appropriateness of using AI to draft legislation that would regulate AI. Proponents argue this demonstrates practical AI applications, while critics raise concerns about potential conflicts of interest and the quality of AI-generated legal text.
The proposed legislation calls for establishing a competent authority responsible for controlling and supervising AI systems in Costa Rica. This regulatory body would be guided by core principles including accountability, explainability, bias prevention, and human rights protection. The bill recognizes that AI systems can have significant impacts on citizens' rights and welfare, necessitating robust oversight mechanisms.
Article 6 of the bill addresses Supervision and Auditing, establishing requirements for AI systems to be subject to regulatory oversight. The competent authority would have powers to audit AI systems, investigate complaints, and enforce compliance with regulatory requirements. This aligns with emerging international standards for AI governance that emphasize the importance of independent oversight.
The bill's emphasis on explainability reflects growing recognition that AI systems, particularly those making decisions affecting individuals, should be able to provide understandable explanations of their outputs. This is especially important in contexts such as credit decisions, employment screening, and public services where algorithmic decisions can significantly impact people's lives.
Bias prevention provisions acknowledge the well-documented risks of AI systems perpetuating or amplifying existing societal biases. The bill would require measures to identify and mitigate bias in AI systems, particularly those used in high-stakes decision-making contexts. Human rights protection provisions ensure that AI development and deployment respect fundamental rights guaranteed by Costa Rica's constitution and international human rights instruments.
As of late 2024, the bill remains under consideration in the Legislative Assembly alongside other AI-related legislative proposals. The development of Costa Rica's National AI Strategy (ENIA) 2024-2027 provides additional policy context for eventual passage of comprehensive AI legislation. The bill represents part of Costa Rica's broader effort to position itself as a leader in responsible AI governance in Central America and the Caribbean.
Full article
Read full text ↗Overview
The Artificial Intelligence Regulation Bill was introduced in Costa Rica's Legislative Assembly on May 30, 2023, by Congresswoman Vanessa Castro and colleagues. The bill gained international attention for its unprecedented approach: the entire text was drafted with assistance from ChatGPT-4, making it one of the first AI-generated legislative proposals in the world. The bill proposes establishing a comprehensive regulatory framework for artificial intelligence in Costa Rica, including the creation of a supervisory authority and requirements for accountability, explainability, and bias prevention. The initiative reflects Costa Rica's proactive approach to AI governance and positions the country among Latin American leaders in developing AI regulatory frameworks.
Definitions
The bill provides foundational definitions for AI regulation. Artificial Intelligence Systems refers to computer systems capable of performing tasks that typically require human intelligence, including learning, reasoning, and decision-making. The Competent Authority is the proposed regulatory body responsible for overseeing AI systems. Accountability refers to the requirement that organizations deploying AI systems take responsibility for their outcomes. Explainability means AI systems must be capable of providing understandable explanations of their decision-making processes. Bias refers to systematic errors that produce unfair outcomes, particularly discrimination against protected groups. High-Risk AI Systems are those with significant potential impacts on fundamental rights or safety.
Governance and Institutional Framework
The bill proposes establishing a new Competent Authority specifically responsible for AI oversight in Costa Rica. This regulatory body would have independence to carry out its supervisory functions without political interference. The authority would be empowered to develop implementing regulations, issue guidance on AI compliance, receive and investigate complaints about AI systems, conduct audits of AI deployments, and impose sanctions for violations. The governance structure anticipates coordination with existing regulatory bodies including data protection authorities, consumer protection agencies, and sector-specific regulators. The Legislative Assembly would maintain oversight of the authority through reporting requirements and budget approval.
Key Focus Areas
- Establishment of Supervisory Authority: Creating an independent regulatory body with powers to oversee, audit, and enforce AI compliance.
- Accountability Requirements: Mandating clear responsibility chains for AI system outcomes and decisions.
- Explainability Standards: Requiring AI systems to provide understandable explanations of their decision-making processes.
- Bias Prevention: Implementing measures to identify, assess, and mitigate algorithmic bias and discrimination.
- Human Rights Protection: Ensuring AI development and deployment respects fundamental rights and dignities.
- Supervision and Auditing: Establishing frameworks for regulatory oversight and compliance verification.
- Complaint Mechanisms: Creating accessible processes for citizens to report AI-related harms or concerns.
- Transparency Requirements: Mandating disclosure about AI use and capabilities to affected individuals.
- Risk Assessment: Requiring evaluation of AI risks before deployment in high-stakes contexts.
- Enforcement Powers: Granting the competent authority ability to impose sanctions for violations.
Implementation Framework
If enacted, the bill would require establishment of the competent authority within a specified timeframe following passage. The new regulatory body would then develop detailed implementing regulations and technical standards for AI compliance. Organizations deploying AI systems would have transition periods to achieve compliance with new requirements. The implementation framework anticipates phased rollout with initial focus on high-risk AI applications before expanding to broader AI governance. Capacity building within government, support for regulated entities, and public awareness campaigns would accompany regulatory implementation.
Monitoring and Evaluation
The bill establishes monitoring mechanisms through the competent authority's supervisory powers. Article 6 specifically addresses Supervision and Auditing, empowering the authority to examine AI systems for compliance with regulatory requirements. Regular reporting by AI deployers would provide ongoing visibility into AI use across sectors. The authority would maintain registers of AI systems subject to oversight. Periodic assessments would evaluate the effectiveness of the regulatory framework and identify needed adjustments. International benchmarking would compare Costa Rica's approach with evolving global best practices.
Penalties, Liability, and Appeals
The bill contemplates sanctions for non-compliance with AI regulatory requirements, though specific penalty amounts would likely be detailed in implementing regulations. Violations related to bias, lack of transparency, or failures of accountability could result in administrative fines, orders to cease AI operations, or requirements to implement corrective measures. Criminal liability might apply in cases of intentional misconduct causing significant harm. Organizations would be liable for harms caused by their AI systems, with potential for joint liability between developers and deployers. Appeals processes would allow regulated entities to challenge regulatory decisions through administrative and judicial review mechanisms.
Relationship to Other Instruments
The bill would operate alongside Costa Rica's existing legal framework including constitutional rights protections, data protection legislation, consumer protection laws, and sector-specific regulations. It complements the National Artificial Intelligence Strategy (ENIA) 2024-2027 which provides policy direction for responsible AI development. The legislation would interact with Costa Rica's digital transformation initiatives and e-government programs. International commitments under human rights conventions inform the bill's rights-protective provisions. The bill represents one of several AI-related legislative proposals under consideration in the Legislative Assembly.
International Alignment
The bill reflects influence from international AI governance frameworks, particularly the approach taken by the EU AI Act with its emphasis on risk-based regulation and transparency requirements. The principles of accountability and explainability align with the OECD AI Principles. Human rights provisions reflect commitments under the American Convention on Human Rights and other international instruments. The bill positions Costa Rica to participate in regional harmonization efforts for AI governance in Latin America. The innovative use of AI in drafting the legislation itself demonstrates Costa Rica's engagement with emerging technology while raising novel questions about AI governance.
Implementation Timeline
| Date | Milestone |
|---|---|
| 2023-05-30 | Bill introduced in Legislative Assembly by Congresswoman Vanessa Castro |
| 2023-2024 | Committee review and public consultation |
| TBD | Legislative debate and potential amendments |
| TBD | Final vote in Legislative Assembly |
| TBD | Presidential signature if passed |
| TBD | Establishment of competent authority |
| TBD | Development of implementing regulations |
Sources and References
| Source | Type |
|---|---|
| Costa Rica Legislative Assembly | Legislative Body |
| Analytics Insight - AI Law Drafted by ChatGPT Splits Experts | News Analysis |
| World Lawyers Forum - ChatGPT Proposes AI Regulation Bill | Legal Analysis |
Requirements for a company
What an organisation has to do under Costa Rica - AI Regulation Bill, at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Not yet in force (Under Review). These requirements apply once the instrument takes effect and may change before then.
Must do
11- Establish clear responsibility chains for AI system outcomes and decisions.Organizations deploying AI systems.
- Ensure AI systems provide understandable explanations of their decision-making processes.Organizations deploying AI systems.
- Implement measures to identify, assess, and mitigate algorithmic bias and discrimination.Organizations deploying AI systems.
- Evaluate AI impacts on fundamental rights and dignities before deployment.Organizations deploying AI systems.
- Disclose AI use and capabilities to affected individuals.Organizations deploying AI systems.
- Conduct risk assessments for AI systems before deployment in high-stakes contexts.Organizations deploying AI systems.
- +5 more in the table below
Must not do
0Nothing in this category.
Should do
0Nothing in this category.
Should not do
0Nothing in this category.
Who must do what
The obligations under Costa Rica - AI Regulation Bill, most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | Organizations deploying AI systems. | Establish clear responsibility chains for AI system outcomes and decisions. “Accountability Requirements: Mandating clear responsibility chains for AI system outcomes and decisions.” | — | — | Critical |
| 2 | Organizations deploying AI systems. | Ensure AI systems provide understandable explanations of their decision-making processes. “Explainability Standards: Requiring AI systems to provide understandable explanations of their decision-making processes.” | — | — | Critical |
| 3 | Organizations deploying AI systems. | Implement measures to identify, assess, and mitigate algorithmic bias and discrimination. “Bias Prevention: Implementing measures to identify, assess, and mitigate algorithmic bias and discrimination.” | — | — | Critical |
| 4 | Organizations deploying AI systems. | Evaluate AI impacts on fundamental rights and dignities before deployment. “Human Rights Protection: Ensuring AI development and deployment respects fundamental rights and dignities.” | Before deployment | — | Critical |
| 5 | Organizations deploying AI systems. | Disclose AI use and capabilities to affected individuals. “Transparency Requirements: Mandating disclosure about AI use and capabilities to affected individuals.” | — | — | Critical |
| 6 | Organizations deploying AI systems. | Conduct risk assessments for AI systems before deployment in high-stakes contexts. “Risk Assessment: Requiring evaluation of AI risks before deployment in high-stakes contexts.” | Before deployment | — | Critical |
| 7 | Organizations deploying AI systems. | Allow the competent authority to supervise and audit AI systems for compliance. “Article 6 specifically addresses Supervision and Auditing, empowering the authority to examine AI systems for compliance.” | — | Article 6 | Critical |
| 8 | Organizations deploying AI systems. | Establish processes to receive and address AI-related complaints. “Complaint Response: Establish processes to receive and address AI-related complaints.” | — | — | Important |
| 9 | Organizations deploying AI systems. | Maintain records of AI system development, training, and deployment. “Documentation: Maintain records of AI development, training, and deployment.” | — | — | Important |
| 10 | Organizations deploying AI systems. | Register AI systems with the competent authority as required. “Regulatory Registration: Register AI systems with competent authority as required.” | — | — | Important |
| 11 | AI deployers. | Provide regular reports on AI system use to the competent authority. “Regular reporting by AI deployers would provide ongoing visibility into AI use across sectors.” | — | — | Important |
Related Regulations
More AI regulation in Costa Rica
© Regulations.AI · updated on 6 Jan 2026 · reviewed against official sources on 9 Sep 2026 using Gemini 3.6 Flash