{"id":174109,"date":"2026-08-06T15:25:14","date_gmt":"2026-08-06T21:25:14","guid":{"rendered":"https:\/\/tecscience.tec.mx\/en\/?p=174109"},"modified":"2026-08-07T16:28:54","modified_gmt":"2026-08-07T22:28:54","slug":"how-universities-can-govern-ai","status":"publish","type":"post","link":"https:\/\/tecscience.tec.mx\/en\/education-and-humanism\/how-universities-can-govern-ai\/","title":{"rendered":"Universities Have Already Embraced AI. Now They Need to Learn How to Govern It"},"content":{"rendered":"\n

Generative artificial intelligence<\/a> (AI) is already part of learning, teaching, and administrative processes at universities. An analysis published by UNESCO reports that about 86% of students worldwide use these tools regularly in their studies<\/a> and estimates that nine out of 10 faculty members and researchers rely on them in their professional work.<\/p>\n\n\n\n

However, even though this technology is being adopted at a rapid pace, many higher education institutions still lack clear rules for using it in an ethical and responsible way<\/strong>.<\/p>\n\n\n\n

Against this backdrop, researchers from IFE Europe<\/a> at the Institute for the Future of Education<\/a> of Tecnol\u00f3gico de Monterrey are participating in Integrity AI<\/a>, an international research and educational innovation project designed to help universities prepare to govern the use of AI.<\/p>\n\n\n\n

\u201cThere is a gap between the pace of technological adoption and the level of institutional readiness<\/strong>,\u201d explains Virginia Rod\u00e9s<\/a>, a researcher at IFE Europe. \u201cMost institutions still lack governance systems, training programs, and legal and regulatory frameworks to ensure the sustainable, responsible, and sovereign use of AI.\u201d<\/p>\n\n\n\n

The project is led by the Institute for the Future of Education (IFE Europe) and Mondragon Unibertsitatea. It is funded by the European Union\u2019s Erasmus+ program through the Capacity Building in Higher Education initiative and brings together universities from Latin America and Europe to develop governance frameworks, including policies, tools, and strategies for the use of AI in higher education settings, while strengthening academic integrity.<\/p>\n\n\n\n

\r\n \r\n \"\"\r\n <\/picture>
Virginia Rod\u00e9s, researcher at the Institute for the Future of Education at Tecnol\u00f3gico de Monterrey. (Photo: IFE Europe)<\/figcaption><\/figure>\n\n\n\n

AI in Higher Education: Universities Are Struggling to Regulate It<\/h2>\n\n\n\n

In the project\u2019s first phase, the team conducted an assessment to evaluate how prepared higher education institutions are for AI. Through workshops and surveys involving 148 participants from seven universities across Latin America, including faculty members, researchers, administrators, administrative staff, and students, the researchers examined how these tools are being used and how ready campuses are to govern them.<\/p>\n\n\n\n

The assessment included Mexico\u2019s Instituto Polit\u00e9cnico Nacional and Universidad Aut\u00f3noma de Nuevo Le\u00f3n; Colombia\u2019s Universidad de San Buenaventura de Cali and Universidad del Cauca; Guatemala\u2019s Universidad de San Carlos and Universidad Galileo; and Brazil\u2019s Universidade Federal de Santa Catarina.<\/p>\n\n\n\n

Fifty-five percent of participants said they use AI frequently or very frequently for teaching, learning, research, and administrative tasks. The study also found that 57% of respondents reported a moderate level of familiarity with these tools.<\/p>\n\n\n\n

The findings reveal that AI has already become part of the day-to-day activities at these universities. Among the benefits identified were time savings when completing tasks, increased productivity, assistance with writing and translation, and improved access to information.<\/p>\n\n\n\n

The study also identified challenges, including inaccuracies and biases in generative AI, inadequate source verification, students\u2019 cognitive overreliance on these tools, and difficulties related to citation, content authorship, and data privacy.<\/p>\n\n\n\n

However, the most significant challenge identified was the lack of governance<\/strong>: every institution reported either the absence of or insufficient regulatory frameworks to oversee the use of this technology.<\/p>\n\n\n\n

\u201cThe gap does not lie in awareness, but in how that awareness is translated into operational practice,\u201d she says. \u201cUniversity communities recognize the risks and ethical dimensions of using AI, but they lack operational policies, shared criteria, protocols, and accountability mechanisms.\u201d<\/p>\n\n\n\n

<\/p>\n\n\n\n

Setting Clear Rules<\/h2>\n\n\n\n

In its next phase, the project will focus on developing governance models tailored to the needs of the participating universities. The goal is to design institutional policies, training programs, assessment tools, and AI integration mechanisms that are also aligned with each institution\u2019s values.<\/p>\n\n\n\n

The initiative will also move into a pilot implementation phase at the participating institutions<\/strong>, where the governance models developed through the project will be tested<\/strong>. This stage will include the creation of specialized AI units and the development of guidelines covering areas such as transparency, AI disclosure and use, human oversight, institutional ethics review, and the protection of personal data.<\/p>\n\n\n\n

At the start of the pilot programs, all participating universities will implement a shared set of core actions. These include formally establishing an AI governance structure, developing an initial ethical and institutional framework<\/strong>, creating a dedicated channel to address questions about the use of AI, and launching training and awareness activities for their university communities.<\/p>\n\n\n\n

Building on that foundation, each institution will define its own strategy and may introduce additional measures based on its specific context and needs.<\/p>\n\n\n\n

Looking ahead, the team hopes the model developed through Integrity AI can be adapted and replicated at other universities across Latin America and Europe. To support that goal, the project will produce implementation guides for ethical and institutional frameworks for the responsible adoption of AI, along with training programs designed for different members of the university community.<\/p>\n\n\n\n

\u201cIt is a collaborative effort to develop best practices within some institutions while also placing a strong emphasis on creating an impact beyond them by developing tools that other universities across the region can adopt,\u201d Rod\u00e9s says.<\/p>\n\n\n\n

Dominique Boullier<\/a>, a sociologist and professor emeritus at the Paris Institute of Political Studies (Sciences Po), says initiatives like this allow universities to establish their own criteria for evaluating and adopting AI, rather than simply keeping pace with the agenda set by the technology companies developing these tools.<\/p>\n\n\n\n

He argues that universities should promote coordinated evaluation efforts across institutions that assess not only the performance of AI systems but also how they are integrated into different educational settings and the value they truly add to learning.<\/p>\n\n\n\n

\u201cIf we move toward an internationally coordinated process for testing every specific use of these systems, not only their capabilities, but also the way they are embedded within educational environments, we can compare results and bring all that knowledge together so that everyone can draw on those lessons in their own contexts,\u201d Boullier says.<\/p>\n\n\n\n

Were you interested in this story? Do you want to publish it? Contact our content editor to learn more marianaleonm@tec.mx<\/a><\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

An assessment conducted across seven universities in Latin America found that the use of generative AI tools has already become part of everyday academic life, yet institutions still lack the policies, shared standards, and institutional capacity needed to adopt them in an ethical and responsible way.<\/p>\n","protected":false},"author":47,"featured_media":174112,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","footnotes":""},"categories":[558],"tags":[356,234],"class_list":["post-174109","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education-and-humanism","tag-artificial-intelligence","tag-institute-for-the-future-of-education","sticky"],"acf":[],"yoast_head":"\nHow Universities Can Govern Artificial Intelligence | TecScience<\/title>\n<meta name=\"description\" content=\"Researchers analyzed seven universities across Latin America and found that the biggest challenge is no longer adopting AI, but establishing the rules needed to implement it in an ethical and responsible way.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tecscience.tec.mx\/en\/education-and-humanism\/how-universities-can-govern-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Universities Have Already Embraced AI. 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