Applied Training Program in AI Ethics
State of Guanajuato – An initiative for a responsible AI future
Strengthening the capabilities of AI leaders to integrate an ethical, inclusive and applied perspective into their technological projects.
About the Program
A Pioneering Program
Our program seeks to strengthen the capabilities of AI leaders to integrate an ethical, inclusive and applied perspective into their projects, promoting responsible AI development in Mexico.
Main Objectives
- Strengthen ethical practices in AI
- Integrate ethical concepts, practices and tools
- Develop responsible AI leaders
- Promote ethical innovation in key sectors
Impact and Scope
This program represents a collaboration initiative between the public and private sectors for specialized training in AI ethics, designed to create an ecosystem of responsible technology leaders.
Specialized Training
Webinar: Ethics in Artificial Intelligence
Join a unique collaborative space where leaders, youth, academics and public sector representatives will gather to reflect on how to apply artificial intelligence ethics to the workplace. This is not a traditional webinar; it's a practical laboratory to contribute ideas and recommendations to the AI & Work Policy (AIWP) pilot project.
- AI Governance
- AI for Public Good
- Ethics in Intelligent Agents
- Ethical AI Frameworks
Date
Saturday, August 16, 2025
Schedule
10:00 AM - 1:20 PM (Central Mexico Time)
Your voice is crucial to shaping responsible AI adoption in our region. All ideas will be compiled in a public recommendations document. It will be a space to listen to local voices, exchange insights and co-create proposals about the ethical future of work in our region.
Course Program
A comprehensive 9-session program designed to train AI ethics leaders with top-tier international experts.
Launch & Module 1: AI Ethics
This session explored the fundamentals of AI ethics, examining types of algorithmic equity (procedural, distributive, with and without attribute awareness), bias, explainability and protected groups. The presentation also reviewed mitigation techniques and too…
Module 2: Algorithmic Decision Making
This module examined how design choices in algorithms reflect values such as equity, efficiency and inclusion, demonstrating that these decisions are never neutral. The session reviewed ethical frameworks including utilitarianism and pluralism, and analyzed ho…
Module 3: Algorithms in the Real World
This session analyzed how algorithmic systems impact real-world contexts such as hospitals, banks and schools, addressing the challenges of measuring what truly matters beyond quantifiable metrics. The presentation reflected on the adequacy of proxy measures, …
Module 4: Responsible Documentation
This module explored the importance of documenting AI systems to ensure transparency, risk management and regulatory compliance. The session addressed best practices for recording assumptions, limitations and potential harms in data and models. The presentatio…
Module 5: Equity and Representation in Machine Learning
This session explored how machine learning systems can reflect biases and inequities due to incomplete, unbalanced data or technical decisions. The module analyzed equity as a complex balance between principles such as justice, autonomy and responsibility, exa…
Module 6: Data Ethics and Privacy
This module explored how data reflects values, intentions and power relations throughout its entire lifecycle, from collection to interpretation and use. The session analyzed the risks associated with both the inclusion and exclusion of data, as well as the so…
Module 7: Final Reflections. AI: Public Narrative and Creating New Futures
This session explored how public narratives and values encoded in technologies define what AI is, who it serves and what possible futures are constructed. The module reflected on technology not as neutral tools, but as social arrangements with embedded politic…
Closing Event: Keynote Lectures and Program Showcase
Virtual event where ideas will be presented, keynote lectures will be given and program learnings will be shared, with the goal of impacting the local and international community.
Ready to transform your perspective on AI?
Registrations for the current cohort of our program are now closed. If you would like more information about future editions, you can contact our organizer or visit the contact section.
Keynote Presentations
Industry and academic leaders who shared their expertise and knowledge during the training program.
Claudia del Pozo
EON Institute
Claudia del Pozo
EON Institute
AI ethics expert with extensive experience in developing ethical frameworks for emerging technologies. Founder of EON In...
Frida Ruh
Specialist in algorithmic decision-making and equity in AI systems. Works at Google developing tools and frameworks for ...
Arturo Deza
Artificio
Researcher in computer vision and practical AI applications. Specialized in implementing algorithms in real-world contex...
Ricardo Mirón
Digital Public Goods Alliance
Expert in responsible documentation and transparency in AI systems. Leads initiatives to promote the development of ethi...
Juan Pava
Stanford
Researcher in equity and representation in machine learning. His work focuses on identifying and mitigating biases in AI...
Collaborating Institutions
A strategic alliance between leading institutions in innovation and technological ethics.
McCoy Family Center for Ethics in Society | Stanford University
Stanford University's ethics center dedicated to research and teaching on ethics in society and technology. Co-host of the program.
Institute of Innovation, Science and Entrepreneurship
State institution of Guanajuato focused on innovation and entrepreneurship, leader in the state's technological development.
Impact Sectors
Applying ethical AI principles in key sectors to maximize positive impact on Mexican society
Health
Ethical application of AI in medical diagnostics, personalized treatments and hospital management.
Supply Chain
Responsible optimization of logistics processes and decision making in supply chains.
Education
Development of intelligent educational tools that respect privacy and promote equity.
Government
Implementation of transparent and responsible AI in public services and government policies.
Computer Vision
Ethical research in visual recognition, preserving privacy and avoiding biases.
Transforming the Future with Ethical AI
Each sector represents a unique opportunity to implement AI solutions that are not only efficient, but also ethical, transparent and beneficial to society.
Project Leader
Valeria Tafoya
Ethics and Technology Fellow @ Stanford | Global Future Council on GovTech and Digital Public Infrastructure @ World Economic Forum
Recognized by WIRED in 2024 as one of the leaders in responsible AI in Latin America. Researcher in AI ethical frameworks at Stanford and consultant in AI policies for governments of Spain, Argentina, Mexico and Brazil.
Recognitions
Specialty
Ethical and Responsible AI
Experience
International Consulting
Global Impact
Her work has influenced AI public policies in multiple countries, establishing ethical standards that benefit millions of people.
Why Ethics in AI?
Artificial intelligence is transforming our world, but its development must be responsible and ethical from design to implementation.
Building a Responsible Future
In a world increasingly connected by artificial intelligence, it is essential that these technologies develop with solid ethical principles that protect and benefit all of society.
Integration of ethical principles from initial design
Development of regulatory frameworks and best practices
Training of leaders aware of social impact
Fundamental Principles
Transparency
AI systems must be understandable and explainable for all users, allowing understanding of how decisions are made.
Responsibility
Clear definition of responsibilities in the development and use of AI systems, ensuring accountability at all stages.
Equity
Ensuring that AI systems do not perpetuate biases or discrimination, promoting justice and equal opportunities.
Privacy
Rigorous protection of personal data and respect for individual privacy, implementing robust security measures.
A Commitment to the Future
Ethics in AI is not just a technical responsibility, but a moral commitment to future generations. Every decision we make today shapes tomorrow's technological world.
Contact
For more information, contactour organizer.