Objectives and Action Areas
The strategic commitments and lines of work that guide CONVERGE-IA activities.
Strategic Objectives
Academic Exchange
Facilitate the mobility of researchers, teachers, and students between member institutions to strengthen shared capabilities.
Training in Ethical AI
Develop curricular programs and educational resources on AI ethics adapted to the Latin American context.
Applied Research
Promote joint projects that address local problems using AI in a responsible and sustainable manner.
Governance and Policies
Contribute with evidence and technical recommendations to the formulation of public policies on AI in the region.
Multistakeholder Alliances
Establish collaboration bridges between academia, government, industry, and civil society.
Trust Ecosystem
Promote a culture of technological development that prioritizes human rights and social well-being.
Action Areas
Four fundamental pillars that structure the network's work
Teaching and Training
Area 1
• Integration of AI ethics in university curricula.
• Open courses and resources for teachers.
Applied Research
Area 2
• Interdisciplinary collaborative projects.
• Publication of regional case studies.
Ethics and Governance
Area 3
• Technical advice to governments and organizations.
• AI policy observatory.
Regional Cooperation
Area 4
• Network of laboratories and shared infrastructure.
• Annual events and conferences.
Explore our resources
Access our library of publications, guides, and educational materials produced by the network.
Unirse a la Red
Complete el formulario para solicitar membresía institucional o individual en CONVERGE-IA.
Resource Repository
Materials, guides, tools, and reference documents for the ethical development of artificial intelligence.
Comprehensive AI Ethical Governance Framework
Reference document establishing principles, decision-making structure, and institutional responsibilities.
Guide for Ethical Evaluation of Algorithms
Step-by-step tool to evaluate AI systems focusing on bias, transparency, and human rights.
Module: Fundamentals of Ethical AI
Self-directed course for teachers and managers on principles of ethics in AI development.
CONVERGE-AI Audit Kit
Digital tool to audit and document compliance with ethical principles in AI systems.
AI in Education: Critical Analysis of Regional Experience
Analysis of cases of AI implementation in Latin American higher education institutions.
Institutional Policy for Responsible AI Development
Adaptable template for institutions to develop internal AI policies aligned with CONVERGE-IA.
Resources Coming Soon
Resources, documents, and tools are currently being developed. They will be available for download once published. Join the network to be notified.
Projects and Calls
Active initiatives where you can participate and contribute to the ethical development of artificial intelligence.
Teacher Training in Ethical AI
Development and implementation of training courses for university teachers on integrating ethical competencies in AI teaching. Includes active methodologies, case studies, and open resources.
Coordinator: Universidad de Costa Rica | Participants: 0 institutions
Collaborative Research Network: AI and Human Rights
Seeking research teams for projects focused on impact analysis of AI systems on human rights. Funding available for applied research.
Duration: TBD | Eligible: Universities and R&D Centers in Ibero-America
AI Governance Observatory in Latin America
Monitoring and analysis of regulatory frameworks, policies, and AI governance practices in Ibero-American countries. Generation of annual reports and dialogue spaces.
Coordinator: CONVERGE-IA | Participants: Multisectoral
Innovation Program: Responsible AI in Public Sectors
Pilot initiative to co-create and validate ethical AI solutions in collaboration with public agencies. Emphasis on health, education, and justice.
Modality: Co-creation | Spots: TBD
AI Governance
Comprehensive support for your institution to develop and implement ethical AI governance frameworks.
Why structured governance?
Without clear governance frameworks, institutions face risks of malpractice, regulatory non-compliance, and loss of trust. CONVERGE-IA offers specialized support to build governance systems adapted to your context.
- Reduces ethical-legal risks
- Strengthens internal and external trust
- Aligns with emerging regulations
Our Support Process
Four structured phases to implement ethical AI governance in your institution
Diagnosis
Comprehensive assessment of institutional capabilities, existing policies, and specific AI needs.
~2-3 weeks
Participatory Design
Co-creation of the governance framework with internal stakeholders (academics, managers, researchers).
~4-6 weeks
Implementation
Launch of the framework, training of key teams, and establishment of processes.
~3-4 months
Continuous Monitoring
Tracking, impact assessment, and continuous improvement of the implemented framework.
Sustained
Who is this support for?
Universities
Institutions interested in integrating ethical governance in AI research and teaching.
Research Centers
Units that develop AI technologies and need specific governance frameworks.
Public Agencies
Government institutions implementing responsible AI solutions.
Does your institution need AI governance?
Request a free initial consultation with our specialized team to learn how we can support your institution.
Request Information on AI Governance
Tell us about your institution and your specific needs. Our team will provide personalized advice to implement an ethical AI governance framework.
Consultation Form
Complete this form and an AI governance specialist will contact you within 5 business days.
Quick Response
We will contact you within 5 business days to discuss your needs.
Expert Advice
Specialized team in ethical AI governance with international experience.
Personalized Solution
Framework adapted to your institutional context and specific needs.
Suggest Documents, News, and Information
Do you have a relevant document, important news, or valuable resource to share with the CONVERGE-IA community? Suggest it here. Our editorial team will review and publish it if it meets our standards.
Send Content Suggestion
Complete the form and our team will review your contribution. Selected content will be published in the CONVERGE-IA repository with corresponding credits.
Editorial Process
Receipt
Your suggestion is received by our editorial team.
Review
Relevance, quality, and alignment with CONVERGE-IA are validated (3-7 days).
Decision
We notify you if it was accepted and when it will be published.
Publication
Your content is published with credits in the repository.
Acceptance Criteria
- ✓ Content relevant to ethical AI governance
- ✓ Updated and reliable information
- ✓ Clear and professional language
- ✓ Copyrights respected
- ✓ Regional orientation (preferably Ibero-American)
- ✓ Avoids direct commercial promotion
Contact
We are here to answer your questions, receive proposals, and facilitate your connection with the network.
Social Media
Social media channels coming soon. Stay tuned for updates.
Send us a Message
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The support of the European Union for the production of this communication does not constitute an endorsement of its content, which reflects only the opinion of the authors. The Commission cannot be held responsible for any use which may be made of the information contained therein.
