At a crucial moment for the exploration and implementation of artificial intelligence in Mexico, global AI ethics expert Olivia Gambelin offered a key perspective on the challenges and opportunities facing the country. In an exclusive interview with El Financiero, Gambelin emphasized the importance of addressing AI ethics from a perspective that prioritizes cultural values and effective communication.
Gambelin stressed that AI is essentially about narratives, and highlighted the need for Mexico to communicate its story of innovation and creativity in this field. Regarding education, the expert advocated for widespread literacy in AI, enabling people from diverse backgrounds to understand and utilize this technology.
"Yes, we need education in artificial intelligence, but what we really need is a general education in AI," Gambelin commented. She emphasized the importance of AI education not being limited to the technological elite but accessible to everyone to understand and leverage this technology more equitably.
The expert called on Mexico's leaders to draw on the values that truly define the country rather than replicating external models. She highlighted Mexico's cultural richness as a starting point for anyone, regardless of their background, to understand what artificial intelligence is, how to use it, and what possibilities it offers.
Gambelin also underlined the importance of addressing AI ethics from a broader perspective, moving away from viewing it solely as a technical problem. She insisted on the need to establish an appropriate infrastructure of people and processes to translate ethical decisions into concrete actions in technological development.
Regarding opportunities for Mexico in the field of AI, the expert mentioned "vertical innovation" as an approach to develop technology aligned with the cultural values of the country. This approach seeks to drive a deeper and more meaningful impact at both national and international levels, starting from Mexican culture as a source of technological innovation.
Finally, Gambelin emphasized the critical importance of communication and education in the context of AI. She noted that ethical issues often arise from a lack of training, motivation, and effective communication within teams working on technology, rather than being solely a technical challenge.
