Law for the Implementation of Artificial Intelligence (AI) Systems
Costa Rica · Law · Legislative Assembly of Costa Rica
Our summary
This proposed law aims to establish guidelines for public administration's adoption and use of AI systems, including protocols, standardized procedures, and civil servant training. It also sets a responsible framework covering both the government and private sectors, from manufacturing to financial services, while protecting citizen rights and promoting innovation through partnerships with universities and research institutions.
Written by the Index in our own words. It is not legal advice; the official text is the authority.
Inside this policy
Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.
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4 sections
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Document metadata and classification
Legislative history and status
Purpose of the proposed law
The law aims to guide public administration in adopting and implementing AI technologies through clear protocols, standardized procedures, and training for government officials. It seeks to enhance efficiency and transparency in public services, support data-driven decision making, and establish a responsible framework protecting citizen rights and ensuring equitable use of AI. The law also promotes partnerships with universities and research centers to drive innovation and establish standards for AI use across private sectors including manufacturing, finance, and e-commerce.
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Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
Drafted by the Index Drafted automatically from the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
Themes covered 0 of 35
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Risk and scope 0 of 4
- Risk classification, not covered
- Prohibited practices, not covered
- Risk management system, not covered
- Impact assessment, not covered
Data and privacy 0 of 4
- Data governance and quality, not covered
- Data subject rights and consent, not covered
- Cross-border data transfer, not covered
- Copyright and training data, not covered
Transparency and records 0 of 4
- Transparency and disclosure to users, not covered
- Labelling of synthetic content, not covered
- Technical documentation, not covered
- Record keeping and logging, not covered
Technical safeguards 0 of 4
- Human oversight, not covered
- Accuracy, robustness and cybersecurity, not covered
- Bias and non-discrimination, not covered
- Testing and evaluation, not covered
Assurance and lifecycle 0 of 4
- Conformity assessment and certification, not covered
- Registration and notification, not covered
- Incident and breach reporting, not covered
- Post-market monitoring and corrective action, not covered
Rights and protected groups 0 of 4
- Automated decision-making rights, not covered
- Children and vulnerable groups, not covered
- Biometric identification and surveillance, not covered
- Whistleblowing, complaints and redress, not covered
Roles and organisation 0 of 6
- Supply chain and provider-deployer duties, not covered
- General purpose and foundation models, not covered
- Accountability and governance roles, not covered
- Training and AI literacy, not covered
- Public sector use and procurement, not covered
- Innovation support and sandboxes, not covered
Enforcement and sectors 0 of 5
- Enforcement, penalties and regulators, not covered
- Sector rules: health, not covered
- Sector rules: finance and insurance, not covered
- Sector rules: employment, not covered
- Sector rules: education, not covered
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Change history
No changes recorded since we began monitoring this policy.