Who is talking about artificial intelligence in Ecuador?
Over 60 participants gathered in Ecuador in late 2025 to discuss AI’s integration into daily life, highlighting fragmented policy efforts and risks like data misuse in healthcare and education. The event, organized by FLACSO Ecuador, Openlab, and others, emphasized the need for coordinated regulations to address AI’s rapid adoption without clear oversight or public understanding.
In Ecuador, artificial intelligence is increasingly embedded in daily life—from school assignments to work decisions—yet the country lacks a unified AI policy. Ministries, the National Assembly, and academic institutions advance separate initiatives with differing priorities, leading to overlapping or disconnected regulations. This fragmented approach leaves decisions about AI’s use, limits, and consequences out of public reach, despite its growing influence. A December 2025 event titled *‘Artificial Intelligence and Digital Rights: Different Perspectives for the Common Good’* brought together over 60 stakeholders, including the Ombudsman’s Office, Derechos Digitales, Datalat, and the Ministry of Telecommunications. Organized by FLACSO Ecuador’s Openlab and CTS Lab, with support from Probox, the gathering aimed to foster dialogue among social organizations, academia, and public institutions. Discussions covered surveillance risks, data misuse, and the lack of controls over AI applications, such as a hospital worker entering sensitive medical data into personal AI tools due to institutional gaps. Participants also examined AI’s impact on education, where students use AI to complete assignments without deep engagement, while educators struggle between prohibition and plagiarism-focused responses. The event introduced the RAM methodology, a UNESCO tool assessing Ecuador’s legal, institutional, and public readiness for sustainable AI adoption. It revealed concerns about whether the country can manage AI’s expansion without losing control over its effects. Key discussions included privacy risks, such as unprotected data handling in healthcare, and the need for clearer guidelines. Experts like Jonathan Finlay from LaLibre and Martha Tudón from Article 19 highlighted AI’s influence on decisions without adequate understanding of its consequences. The unconference format allowed participants to explore concrete cases, reinforcing the urgency of coordinated policy to address AI’s rapid, unregulated integration into society.
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