Examination of ethical principles, legal responsibilities, and governance considerations related to the use of artificial intelligence in constitutional and judicial systems.

Exploration of practical AI tools designed to enhance the efficiency, transparency, and effectiveness of judicial processes.

Hands-on workshop focused on the application of AI tools in real-world judicial scenarios, enabling participants to integrate the knowledge acquired throughout the program.

Guide participants through the practical implementation of a compliance management system in accordance with the requirements of ISO 37301:2021.
This module provides a step-by-step approach to implementation activities, including the development of compliance policies and procedures, the establishment of effective internal controls, and the promotion of an organizational culture of integrity.
By the end of the module, participants will be prepared to apply techniques that ensure regulatory compliance, improve transparency, and mitigate risks—including those arising from the development or use of artificial intelligence—thereby strengthening stakeholder trust.

Provide participants with the skills necessary to effectively monitor and evaluate a compliance management system in accordance with the principles of ISO 37301:2021.
This module covers key steps for defining and implementing compliance performance indicators, conducting internal audits, and reviewing outcomes to ensure the system remains aligned with regulatory developments and organizational needs.
Participants will gain the tools required to support continuous improvement and informed decision-making.

Train participants in the application of continuous improvement principles and tools to optimize the compliance management system in alignment with ISO 37301:2021.
This module focuses on identifying areas for improvement, integrating new technologies and methodologies, and adapting the compliance management system to evolving regulatory and business environments, including those shaped by the development and use of artificial intelligence.

Conceptual Examination:
Participants will demonstrate mastery of the concepts required for the implementation of ISO 37301 within their organizations.
Practical Case Study:

Participants will apply the knowledge acquired throughout the program to implement the standard within a compliance and AI risk management program.

This module introduces the main computational tools of artificial intelligence, including machine learning and neural networks, while exploring their practical applications across various areas of everyday life.
Its objective is to promote a critical and reflective approach to the use of these technologies.

This module presents a comprehensive view of the AI ecosystem, covering technical, ethical, legal, and governance dimensions.
Its objective is to analyze the major challenges posed by the implementation of AI across different sectors of society.

This module examines real and contemporary cases related to the use of artificial intelligence, addressing issues such as privacy, authorship, algorithmic bias, and labor impacts.
Its objective is to apply the knowledge acquired throughout the program to critically reflect on concrete situations.

Provide participants with a practical framework to define clear objectives, establish key performance indicators (KPIs), and develop strategies that ensure AI initiatives deliver measurable business value.

Apply principles of AI ethics, algorithmic accountability, transparency, and regulatory compliance to AI projects, integrating these elements as foundational pillars from design to deployment and ongoing operation.

Provide practical tools and methodologies for supervising, coordinating, and supporting the deployment of AI systems, including collaboration with technical teams, operational integration, and change management.

Objective: Understand how international regulations and local legal frameworks impact the implementation and operation of an AI risk management system under ISO/IEC 42001. Participants will learn how to integrate regulatory requirements into AI risk management frameworks, ensuring compliance and mitigating legal risks.

Objective: Establish responsible policies for the use of AI and develop the capacity to evaluate the ethical and social impacts of AI systems. Participants will learn how to formulate and implement AI policies and conduct ethical impact assessments aligned with international best practices.

Objective:
Develop a comprehensive AI risk management system in accordance with the criteria and guidelines established in ISO/IEC 42001:2023. Participants will learn to identify, assess, and treat risks associated with the use of AI within their organizations.

Objective: Learn how to design crisis management strategies related to AI deployment and incident response. Participants will develop the ability to communicate effectively with stakeholders and the broader public environment during AI-related crises.

Objective: Participants will work in group sessions to develop and present a practical case. During this process, they will produce four deliverables designed to support the implementation of an AI management framewor

Upon successful evaluation, participants receive a certification recognizing them as Artificial Intelligence Compliance Officers specialized in AI Risk Management under ISO/IEC 42001, issued by NYCE, Mexico’s National Standards Body and a leading organization in evaluation and certification, with representation in more than 85 countries.