As Artificial Intelligence (AI) continues to evolve at an unprecedented pace, Mexico and other Latin American countries face the challenge of developing regulatory frameworks that address their own needs instead of simply adopting models promoted by major technological powers, according to Dr. Diego García Ricci, research professor in the Department of Law at Universidad Iberoamericana (IBERO).
The specialist explained that technological development advances much faster than legislation, causing regulatory frameworks to become outdated in a short period of time. He added that the lack of international agreements—driven by the geopolitical interests of countries such as the United States, China, and European nations, which lead the development of AI technologies—further complicates the situation.
Given this context, García Ricci argued that attempting to create a single law to regulate all AI could become an obstacle to effective regulation. Such legislation would be difficult to keep current as innovation accelerates and would likely fail to address the different realities and needs of individual countries.
Instead, he proposed adopting targeted regulations that address specific, already identified issues, as has been done in countries such as Brazil. This approach would provide more agile legal responses while allowing governments to gradually build a broader regulatory framework as AI technologies continue to evolve.
He also emphasized that Mexico and Latin America occupy a different position from the world’s leading AI powers, serving primarily as consumers rather than developers of AI technologies. As a result, their regulatory priorities should focus on protecting citizens from risks such as:
- Misuse of personal data
- Lack of algorithmic transparency
- Algorithmic bias
- Other practices that may undermine individuals’ rights
The academic further noted that, in the absence of a specific federal AI law, several sectors—including education—have already begun implementing internal guidelines to regulate AI use. Although these measures represent an important first step, he cautioned that their impact is limited because they do not have nationwide legal force.
According to García Ricci, the challenge is to build a flexible, progressive, and context-sensitive regulatory framework that reflects the realities of Mexico and Latin America rather than waiting for an international consensus that could take years to achieve.
This version shifts the focus from the original interview by emphasizing the type of AI regulation that Mexico and Latin America need, instead of concentrating on the fragmentation of global regulatory frameworks. The approach offers a more compelling angle for national media coverage, interviews, and public policy analysis.
IBERO’s Annual Artificial Intelligence School
IBERO also offers an Annual Artificial Intelligence School, a bootcamp designed for senior undergraduate and graduate students, technology professionals, academics, and decision-makers interested in understanding and applying AI models—particularly Large Language Models (LLMs)—within social and Latin American contexts.
The Annual Artificial Intelligence School is designed to teach the fundamentals of deep learning and features distinguished speakers and workshop leaders, including members of the university’s academic staff.
The program includes the following modules:
- Fundamentals of Neural Networks
- Introduction to Transformers
- Key Concepts of Large Language Models (LLMs)
- Using LLMs Through APIs and Effective Prompt Engineering
- Ethical and Social Risks of Artificial Intelligence
- Responsible AI and Mitigation Strategies for the Common Good
Source: prensa.libero
