Colombia - Ethical AI Adoption Roadmap
Roadmap for Ethical and Sustainable AI Adoption
Hoja de Ruta para la adopción ética y sostenible de la Inteligencia Artificial (MinCiencias)
Colombia
RAI-CO-NA-HDRPLXX-2024The MinCiencias Hoja de Ruta (AI Roadmap) is a strategic, non‑binding framework published in February 2024 that sets national priorities and lineaments for the ethical and sustainable adoption of artificial intelligence in Colombia. It defines five strategic workstreams (ethics & governance; education, research & innovation; industry & future of work; data & organizations; privacy, cybersecurity & defense) and establishes processes for consultation, expert advising, and development of a CONPES policy proposal.
Summary
The Hoja de Ruta para la adopción ética y sostenible de la Inteligencia Artificial is a strategic policy framework prepared and published by the Colombian Ministry of Science, Technology and Innovation (MinCiencias) to guide the country’s adoption of AI in an ethical, inclusive and sustainable manner. Officially presented on 12 February 2024, the Roadmap is designed as a national coordination instrument that aligns with the Plan Nacional de Desarrollo 2022–2026 and MinCiencias’ Mission‑oriented Research Policy. The document articulates five strategic environments for action — (1) Ethics and AI governance; (2) Education, research and innovation in AI; (3) Innovative and emerging industries and AI; (4) Data and AI‑enabled organizations; and (5) Privacy, cybersecurity and national defense — and proposes cross‑cutting measures to foster capacity building, regional inclusion, public‑private collaboration and international cooperation.
Although the Roadmap is not an immediately binding regulation, it functions as a government strategy and implementation guide. It foresees the creation of a high‑level Committee of Experts in AI to advise public policy, regional dialogues to promote inclusive inputs from territories, and the adoption of an Artificial Intelligence Readiness Assessment (AIRA) to evaluate institutional preparedness. MinCiencias also announced intent to request technical support from the Departamento Nacional de Planeación (DNP) to prepare a CONPES document on AI (a CONPES would carry formal national policy weight and budgetary coordination).
The Roadmap places particular emphasis on ethical principles (transparency, fairness, accountability and human‑centered design), data governance (secure and privacy‑respectful data sharing), workforce training and education at multiple levels, support for industry adoption (SME assistance, technology transfer programs), and strengthening cyber and national security approaches for AI systems. It includes measures for citizen participation (public consultations held in early 2024) and regional dialogues, and it commits to international alignment (notably collaboration with UNESCO and reference to international ethical instruments).
Practically, the Roadmap asks agencies and stakeholders to coordinate on building capacity, to pilot public‑sector AI projects under ethical standards, to map high‑risk use cases, and to prepare the CONPES by mid‑2024 (target announced) so that actions move from strategy to programmatic implementation. The Roadmap therefore functions as the foundational national AI strategy from MinCiencias: a roadmap for subsequent regulatory steps, conformity mechanisms and potential sectoral requirements to be developed in coordination with other ministries and regulators.
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Read full text ↗Overview
The Hoja de Ruta for the ethical and sustainable adoption of Artificial Intelligence published by the Ministry of Science, Technology and Innovation (MinCiencias) provides Colombia with a national strategy to coordinate public, academic and private actors around responsible AI deployment. Presented on 12 February 2024 and published on the MinCiencias site, the Roadmap defines five strategic environments and a set of cross‑cutting priorities intended to guide subsequent policy instruments, research funding and regulatory design. The document itself is available on the MinCiencias document repository and was accompanied by a national launch and regional consultation process; see the official announcement at MinCiencias — Colombia ya cuenta con una Hoja de Ruta and the dedicated portal Inteligencia Artificial – MinCiencias. The Roadmap functions as a strategic framework rather than a penal regulatory instrument: it sets principles and operational priorities and explicitly contemplates preparing a CONPES policy document (with DNP technical support) to operationalize actions and resources.
Definitions
The Roadmap uses common policy definitions oriented to implementation: "AI" covers software and systems employing statistical, symbolic or hybrid computational techniques that perform tasks normally requiring human intelligence; "ethical adoption" denotes design, deployment and governance practices that minimize harms to rights, privacy and equality while maximizing socio‑economic benefits; "high‑risk use cases" are public‑interest deployments (public safety, health, social benefits) that may significantly affect rights or essential services; "readiness" refers to institutional capacity (skills, data infrastructure, governance mechanisms) to evaluate, procure and supervise AI systems. The Roadmap also defines stakeholder groups: government agencies, academia and research centers, industry and civil society, and establishes processes for participatory input and expert advice.
Governance and Institutional Framework
The framework proposes a whole‑of‑government coordination model anchored in MinCiencias, with key technical and operational interlocutors including the Departamento Nacional de Planeación (DNP), the Ministry of Information and Communications Technologies (MinTIC), sectoral ministries (Health, Education, Defense, Interior, Labor) and supervisory authorities. It recommends creation of a high‑level Committee of Experts in AI to advise the national government and foster evidence‑based policymaking, and the use of AIRA (Artificial Intelligence Readiness Assessment) tools to measure institutional capacity. MinCiencias communicated a plan to request DNP technical support to prepare a CONPES in AI, which would convert strategy into a national policy instrument with cross‑sector budgetary and planning implications. The Roadmap encourages regional dialogues and multi‑stakeholder working groups to ensure territorial inclusion and to gather inputs from civil society and industry; see the consultation announcement at MinCiencias consultation.
Key Focus Areas
The Roadmap is structured around five strategic environments that together address both enabling conditions and priority applications: (1) Ethics & Governance — establishing ethical principles, algorithmic transparency, participatory governance and frameworks for oversight and accountability; (2) Education, Research & Innovation — expanding AI curricula, funding mission‑oriented research, and building regional capacity; (3) Industry & the Future of Work — supporting SME adoption, technology transfer, and anticipatory labor policies for automation impacts; (4) Data & Organizations — strengthening data governance, secure sharing, standards and platforms for responsible data use; and (5) Privacy, Cybersecurity & Defense — ensuring data protection, model security, and responsible uses in security and defense contexts. Cross‑cutting priorities include inclusion (regional and social), environmental sustainability considerations, gender‑sensitive policies, and the promotion of open science and reproducibility in AI research. The Roadmap also identifies sectors where public value use cases should be prioritized (health, education, agriculture, disaster risk management and public administration) and stresses alignment with international norms, including UNESCO initiatives referenced by the Ministry.
Implementation Framework
Implementation is presented as a staged, collaborative process. Short‑term measures include public consultations, formation of the expert committee, baseline readiness assessments (AIRA) and pilot projects in priority sectors. Medium‑term actions emphasize capacity building (education programmes, regional dialogues), development of data governance instruments and standardization of procurement practices for AI systems in the public sector. Long‑term measures comprise preparation and approval of a CONPES on AI to ensure cross‑sector policy coherence, the institutionalization of surveillance and evaluation mechanisms, and the design of sectoral regulatory measures where necessary. The Roadmap promotes public procurement guidelines, ethical impact assessments for high‑risk systems and data stewardship models that encourage safe data sharing while protecting privacy and fundamental rights.
Monitoring and Evaluation
The Roadmap proposes a monitoring and evaluation architecture based on iterative assessments and public reporting. Key tools include the AIRA readiness assessment to measure institutional progress, pilot evaluations with defined KPIs for public projects, periodic regional dialogues to collect stakeholder feedback, and a monitoring dashboard to track adoption indicators (capacity, investments, number of public pilots, ethical impact assessments completed). MinCiencias signals intent to coordinate with sectoral regulators and oversight bodies to incorporate evaluation results into the CONPES process, and to publish periodic updates on the implementation status through the national AI portal.
Penalties, Liability, and Appeals
As a framework document, the Roadmap does not itself create new enforcement sanctions or a liability regime; rather, it signals the need to design future legal and regulatory instruments that allocate responsibilities, define liability pathways for harms caused by AI systems and provide mechanisms for redress. The Roadmap recommends clarifying accountability in procurement contracts, requiring documentation and impact assessments for certain high‑risk deployments, and collaborating with judicial and supervisory bodies to adapt existing liability and administrative sanctioning frameworks where necessary. It also recommends exploring accessible complaint and appeals channels tied to sectoral regulators and consumer protection authorities for affected individuals.
Relationship to Other Instruments
The Roadmap is explicitly presented as complementary to Colombia’s existing policy corpus: it aligns with the Plan Nacional de Desarrollo 2022‑2026 and MinCiencias’ Mission‑oriented Research Policy, and it references data protection and consumer rights frameworks that apply to AI deployments. The document is a preparatory instrument that anticipates the drafting of a CONPES on AI (formal national policy) and coordination with sectoral rule‑making (health, transport, security) and supervisory agencies (data protection, consumer protection, cybersecurity). It therefore functions as an organizing, strategic layer designed to inform and feed into subsequent, legally binding regulations prepared by the relevant authorities.
International Alignment
The Roadmap articulates an international posture that seeks alignment with multi‑lateral ethical guidance (including UNESCO processes referenced by MinCiencias) and the European and regional AI policy debates. It emphasizes participation in international dialogues, adoption of best practices in transparency and algorithmic accountability, and building partnerships for scientific cooperation and standards. The ministry highlights Colombia’s collaboration opportunities with UNESCO and the Commission of the European Union and signals that international norms will inform national standards, capacity building and conformity processes.
Implementation Timeline
| Event | Target date |
|---|---|
| Publication and national launch of the Roadmap | 2024‑02‑12 |
| Public consultation period (preliminary documents) | 2024‑01‑29 to 2024‑02‑06 |
| Publication of Roadmap PDF on MinCiencias repository | 2024‑02‑19 |
| Formation of Committee of Experts (announced) | 2024 (ongoing) |
| Target: Draft CONPES for AI submitted (MinCiencias announces DNP support) | Targeted for August 2024 (as announced) |
| Regional dialogues and AIRA deployments | 2024–2025 (phased) |
Sources and References
Requirements for a company
What an organisation has to do under Colombia - Ethical AI Adoption Roadmap, at a glance. Not legal advice — the table below gives the provision and deadline for each item.
Must do
5- Perform ethical impact assessments for high-risk AI systems.Project owners deploying high-risk AI systems.
- Align data governance practices with existing privacy standards.Data controllers using AI systems.
- Adopt ethical principles and internal AI policies for AI deployment.Public agencies and private developers.
- Complete an Artificial Intelligence Readiness Assessment (AIRA).Government entities.
- Standardize procurement practices for AI systems in the public sector.Public sector entities procuring AI systems.
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 Colombia - Ethical AI Adoption Roadmap, most serious first. Not legal advice — verify against the official text before relying on it.
| # | Who | Requirement | By when | Where | Severity |
|---|---|---|---|---|---|
| 1 | Project owners deploying high-risk AI systems. | Perform ethical impact assessments for high-risk AI systems. “The Roadmap promotes... ethical impact assessments for high‑risk systems...” | Before deployment | Implementation Framework | Important |
| 2 | Data controllers using AI systems. | Align data governance practices with existing privacy standards. “Align data governance practices with privacy standards (Respect Ley 1581 and sectoral privacy rules).” | — | Relationship to Other Instruments | Important |
| 3 | Public agencies and private developers. | Adopt ethical principles and internal AI policies for AI deployment. “Adopt ethical principles and internal AI policies (Recommended for procurement and pilots).” | — | Key Focus Areas | Important |
| 4 | Government entities. | Complete an Artificial Intelligence Readiness Assessment (AIRA). “Short‑term measures include... baseline readiness assessments (AIRA)...” | 2024-2025 (phased) | Implementation Framework | Important |
| 5 | Public sector entities procuring AI systems. | Standardize procurement practices for AI systems in the public sector. “Medium‑term actions emphasize... standardization of procurement practices for AI systems in the public sector.” | — | Implementation Framework | Important |
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