San Luis Potosí

El Parque de Emprendimiento e Innovación establecido en San Luis Potosí se encuentra situado en el centro del país, con una creciente industria automotriz que lo ha llevado a posicionarse como un actor relevante en la innovación de este sector.

Casos de éxito

El Parque de Emprendimiento e Innovación ha sido un catalizador de historias de éxito tanto para la comunidad académica como para emprendedores externos. Entre los casos destacados se encuentran:

Mike Ortiz:

Founder of Kool Toons. Director and winner of the Ibero-American Film Award.

FINERN:

A Chinese company specializing in IoT and Industry 4.0.

APEX:

A leader in simulation and training for the industry. EXATEC Ramiro Fidalgo is its founder.

Eventos

Espacios

El Parque de Emprendimiento e Innovación cuenta con una infraestructura moderna y en constante crecimiento para satisfacer las necesidades de empresas y emprendedores.

¡Contáctanos!

Espacios corporativos
Oficinas
Espacios dedicados
Coworking
Espacios comunes
Salas de juntas
Salones para eventos
Terrazas
Cocinetas

Contáctanos

Parque Tecnológico San Luis Potosí:

Contacto: rafael.tristan@tec.mx

Ethics and Fundamentals of AI

Responsible AI: Ethical Use

At Tec de Monterrey, we see technology as a powerful ally in achieving our educational goals. When used correctly, it facilitates access to information, creates knowledge, and opens doors to learning and social well-being. AI holds enormous potential to benefit our community, provided it is used ethically and responsibly in the educational processes, projects, and activities of our institution.

As technology advances, we face significant challenges, such as ensuring data quality and understanding its impact on decision-making. While AI complements human work and boosts efficiency, it is crucial to use it responsibly to avoid biases and maximize its benefits. For this reason, we have created resources and guidelines to guide the ethical use of AI tools in teaching and learning processes.

See the guidelines here

The Future of AI

In recent years, AI has advanced significantly thanks to neural networks and large volumes of data. However, some experts believe that simply increasing the size of models will no longer yield significant benefits, calling for more creative ways to improve.

Access to quality data is crucial for AI’s progress. Fields like biology and healthcare hold immense potential. Visual and video data will unlock new opportunities in areas like medicine, robotics, and automation.

Another trend is the development of autonomous agents—systems that make decisions and adapt in real-time—revolutionizing sectors like logistics and education with smarter solutions.

While we will see advancements in visual models with applications in medicine and security, challenges remain, including improving interaction with the physical world and common-sense reasoning. Tec de Monterrey is committed to preparing new generations to lead in this field, ensuring the ethical and fair development of AI.

Source: World Economic Forum (2024). The Expanding Universe of Generative Models [Video]. URL: https://www.weforum.org/events/world-economic-forum-annual-meeting-2024/sessions/the-expanding-universe-of-generative-models

Myths and Realities of AI

Artificial intelligence (AI) has become one of the most transformative technologies in recent years, driving significant advancements across various fields and generating widespread discussion. However, its rapid development has also led to misconceptions and myths. It’s essential to separate reality from false beliefs to better understand what AI can and cannot do.

Myths

"AI will replace all human jobs."
While automation will impact some jobs, AI won’t eliminate most occupations; it will transform them. Many professions requiring complex skills, creativity, or empathy will still need people.

"AI makes decisions completely on its own without human input."
This is not true. AI operates under human supervision and within the boundaries set by programmers.

"AI has emotions and self-awareness."
AI lacks consciousness or feelings. It processes data and responds to patterns but doesn’t “feel” or “think” like humans.

"AI is always objective and unbiased."
Not entirely. AI can reflect the biases present in the data it’s trained on, leading to ethical concerns.

"Only tech experts can understand AI."
While creating AI requires advanced technical skills, you don’t need to be a data scientist to learn how to use it. People from various fields can apply it to their work.

Realities

AI is revolutionizing many industries.
From medicine to education, AI is changing how things are done. For example, it helps detect diseases with greater accuracy and personalizes learning methods in education.

AI needs good data to perform well.
The quality of AI’s output depends directly on the data it’s trained with. Incomplete or flawed data leads to unreliable results.

Today’s AI isn’t universal.
Most current AI applications are designed for specific tasks and cannot perform beyond their programming.

AI usage raises ethical challenges.
Issues like privacy, fairness, and accountability must be addressed with an ethical approach.

AI complements human work.
Rather than replacing people, AI enhances efficiency, enabling workers to focus on more creative or complex tasks. This makes AI a tool that adds value rather than taking it away.

Sources

Benhamou, S. (2022). The Transformation of Work and Employment in the Age of Artificial Intelligence: Analysis, Examples, and Questions. CEPAL.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

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Ética y Fundamentos de IA

Ética y Fundamentos de IA

Responsible AI: Ethical Use

See the guidelines here

The Future of AI

Mitos y realidades sobre la IA

La inteligencia artificial (IA) se ha convertido en una de las tecnologías más transformadoras de los últimos años, impulsando grandes avances en diferentes áreas y generando mucho de qué hablar. Sin embargo, su rápido desarrollo también ha dado pie a ideas erróneas y mitos. Por eso, es importante separar la realidad de las creencias equivocadas para entender mejor lo que la IA realmente puede y no puede hacer.

Myths

"AI makes decisions completely on its own without human input."
This is not true. AI operates under human supervision and within the boundaries set by programmers.

"AI has emotions and self-awareness."
AI lacks consciousness or feelings. It processes data and responds to patterns but doesn’t “feel” or “think” like humans.

"AI is always objective and unbiased."
Not entirely. AI can reflect the biases present in the data it’s trained on, leading to ethical concerns.

Realities

AI needs good data to perform well.
The quality of AI’s output depends directly on the data it’s trained with. Incomplete or flawed data leads to unreliable results.

Today’s AI isn’t universal.
Most current AI applications are designed for specific tasks and cannot perform beyond their programming.

AI usage raises ethical challenges.
Issues like privacy, fairness, and accountability must be addressed with an ethical approach.

Sources

Benhamou, S. (2022). The Transformation of Work and Employment in the Age of Artificial Intelligence: Analysis, Examples, and Questions. CEPAL.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

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Teaching and Learning

Educational Artificial Intelligence Strategy

At Tec de Monterrey, we use Artificial Intelligence (AI) to transform the way we teach and learn. This includes the use of virtual assistants, adaptive assessments, and data analytics to personalize the educational experience. Our focus is on exploring, implementing, and evaluating AI tools that help teachers create more meaningful experiences for their students. This is achieved by adapting or transforming teaching strategies and integrating AI into their disciplines, which also better prepares them for their professional fields. In this way, we ensure that learning becomes more dynamic and tailored to each student’s needs.

For this reason, we aim to equip students with key AI-related skills, both general and specific to their fields of study, so they are ready for a world where this technology is increasingly relevant. This ensures our students graduate prepared to tackle the challenges of today’s workforce, equipped with the skills needed to excel in a future shaped by technology. Furthermore, integrating AI into education represents a significant shift that impacts various areas of knowledge, inviting us to reflect on the ethical challenges that come with its implementation.

To achieve this, it is essential to prepare and support teachers. Our strategy includes training activities, exploration spaces, and innovation initiatives that allow them to familiarize themselves with AI tools and design learning experiences integrated with these technologies. We offer a wide range of training options, from introductory courses to learn how to use AI, to specialized boot camps. With these tools, we support teachers in designing innovative approaches they can implement in their classes.

Looking to the Future: Incorporation of AI into curricula

AI and our teachers

Integrating AI into teaching and learning presents an opportunity for faculty to innovate and transform their teaching practices. The goal is to prepare students for their professional futures, address their personalized learning needs and interests, and optimize teachers’ time. To ensure effective use of AI, faculty undergo continuous training.

Through the Center for Faculty Development and Educational Innovation (CEDDIE), Tec de Monterrey supports teachers in integrating AI into their teaching practices. Practical resources, webinars, expert talks, workshops, hackathons, summits, and other events are provided to foster the development of competencies and tools needed to design learning experiences.

In summary, CEDDIE focuses on advising, supporting, and training teachers in the strategic use of AI, concentrating on three main areas:

Integrating artificial intelligence into the design of learning experiences.
Through teachers, developing AI-related competencies in students for their fields of study.
Encouraging creative ideas that improve various aspects of the educational process using this technology.

AI Summit: Faculty projects

As part of Tec de Monterrey's efforts to support and train its teaching community in the strategic use of artificial intelligence, the AI Summit is a key event designed to create practical solutions that address real educational needs using AI tools.

In the 2024 edition, 180 innovative and dedicated teachers participated, presenting projects that integrated these tools into teaching activities and learning sequences, thereby improving instruction and enriching classroom learning experiences.

These projects are carefully implemented in classes to measure their impact on student learning, and the results obtained are used to design new AI-based educational tools and strategies.

The event projects focused on areas such as:

Tool application
Evaluation and feedback
Development of disciplinary competencies
Personalized learning and tutoring
Simulations and immersive environments

All of this is carried out while ensuring the responsible use of technology.

In the following link, you can explore the projects that teachers have carried out:

Visit the AI Summit website

Tools

TECgpt

Skill Studio

ChatGPT

For our Tec de Monterrey community, we have developed TECgpt, an ecosystem of generative AI tools like ChatGPT and Skill Studio that enables the creation of purpose-specific models. These models can be used directly or integrated into other tools, all within a private, secure, managed, and customizable environment designed exclusively for our institution.

Skill Studio is an AI tool created by Tec de Monterrey as part of TECgpt, designed to simplify the setup and reuse of prompts. Essentially, it allows users to create "skills" with predefined variables, making it easier and faster to generate standardized and automatable tasks for both educational and administrative purposes. Once created, these "skills" can be shared as templates for institutional use, saving time and improving efficiency for those who use them.

Examples of "skills" already developed include: "Create a problem-based scenario," "Design a challenge," "Plan the strategy for your educational unit," and "Create a learning activity." These tools serve as starting points, leaving it up to the teacher to verify and adjust the results according to their specific needs.

So far, more than 800 "skills" have been developed, focusing on areas such as content design, evaluation, and adapting strategies to specific contexts. Examples include Python calculations, evaluation reports, character creation for scripts, and concept generation based on storytelling. Skill Studio is available to all Tec de Monterrey faculty and staff who request access.

Within the ecosystem of TECgpt tools, we also have an institutional chatbot that allows teachers and staff to interact with one of the most advanced AI models through a simple and user-friendly interface.

Users can ask questions via text or voice, solve doubts, upload documents to interact with them, and even generate images. All of this takes place in a safe and controlled environment, without worrying about data privacy, as it is not used to train future models.

Adaptive Learning at Tec de Monterrey

At Tec de Monterrey, we use adaptive learning strategies to personalize education. This involves applying modern teaching methods, data analytics, and advanced AI algorithms to design customized learning paths for each student. This approach makes their educational process more effective and efficient by taking into account their level, profile, and specific needs.

Additionally, this strategy allows teachers to identify areas where their groups may be struggling, enabling them to adjust their teaching methods, improve student performance, and optimize overall outcomes.

This tool is part of our initiative to ensure student success, helping them level up their knowledge from the start of their academic program, especially in STEM subjects (science, technology, engineering, and mathematics), which are often crucial during the early stages of their education

Strategic Resource Areas

Tec de Monterrey's main AI resources are organized in the following areas

CEDDIE

For all educators

CEDDIE supports teachers in integrating artificial intelligence into educational practices through resources, events, and training. This enables educators to enhance their students' learning experiences with innovative tools and methods.

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Teaching Hub

For Tec de Monterrey’s educators

The Teaching Hub offers strategies, activities, and resources designed to maximize the ethical and effective use of artificial intelligence in education. Its purpose is to transform teaching practices through methodologies that foster critical thinking and creativity. This site was developed by Educational Innovation and Digital Learning.

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Edutools

For Tec de Monterrey’s educators

Edutools is Tec de Monterrey's Educational Technology platform that brings together various tools designed to create and enhance learning experiences. It makes it easier for teachers to apply these technologies in their educational practices while fostering an active community by sharing best practices. This platform has been particularly recognized for its popularity among colleagues in Latin America.

Visit Site

Academic Integrity

For Tec de Monterrey’s educators and students

This initiative promotes the ethical and responsible use of artificial intelligence in education, through guidelines that ensure its conscious integration aligned with institutional values.

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Open Educational Resources by IFE

For the general community

Developed by the IFE Observatory, this initiative provides open resources to enrich classes, projects, and research in generative artificial intelligence. Its goal is to drive educational innovation and facilitate access to knowledge in cutting-edge fields.

Visit Site

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Enseñanza y aprendizaje

Educational Artificial Intelligence Strategy

Una mirada al futuro: incorporación de la IA en planes de estudio

AI and our teachers

In summary, CEDDIE focuses on advising, supporting, and training teachers in the strategic use of AI, concentrating on three main areas:

Integrating artificial intelligence into the design of learning experiences.
Through teachers, developing AI-related competencies in students for their fields of study.
Encouraging creative ideas that improve various aspects of the educational process using this technology.

AI Summit: Faculty projects

These projects are carefully implemented in classes to measure their impact on student learning, and the results obtained are used to design new AI-based educational tools and strategies.

The event projects focused on areas such as:

Tool application
Evaluation and feedback
Development of disciplinary competencies
Personalized learning and tutoring
Simulations and immersive environments

All of this is carried out while ensuring the responsible use of technology.

In the following link, you can explore the projects that teachers have carried out:

Visit the AI Summit website

Herramientas

TECgpt

Skill Studio

ChatGPT

Para nuestra comunidad del Tec de Monterrey, se ha desarrollado TECgpt, un ecosistema de herramientas de IA generativa, como ChatGPT y Skill Studio, que permite generar modelos de propósito específico. Estos modelos pueden ser utilizados directamente o integrados en otros habilitadores, todo dentro de un entorno privado, seguro, administrado y personalizable, diseñado exclusivamente para nuestra institución.

Skill Studio es una herramienta de IA creada por el Tec de Monterrey que forma parte de TECgpt y tiene como objetivo facilitar la configuración y reutilización de prompts. Básicamente, permite diseñar "skills" con variables predefinidas, lo que hace más sencilla y rápida la creación de tareas estandarizadas y automatizables, tanto educativas como administrativas. Una vez creados, estos "skills" pueden compartirse como plantillas para uso institucional, ahorrando tiempo y mejorando la eficiencia de quienes los utilizan.

Algunos ejemplos de "skills" que ya se han diseñado incluyen: "Crea una situación problema", "Diseña un reto", "Diseña la estrategia de tu unidad de formación" y "Diseña una actividad de aprendizaje". Estas herramientas sirven como punto de partida y delegan en el docente la responsabilidad de verificar y ajustar los resultados según sus necesidades.

Hasta ahora, se han desarrollado más de 800 "skills", enfocados en temas como diseño de contenido, evaluación y adaptación de estrategias a contextos específicos. Entre los ejemplos se encuentran cálculos en Python, reportes de evaluación, creación de personajes para guiones y generación de conceptos basados en storytelling. Skill Studio está disponible para todos los docentes y colaboradores del Tec de Monterrey que lo soliciten.

Dentro del ecosistema de herramientas de TECgpt, también contamos con un chatbot institucional que permite a los docentes y colaboradores interactuar con uno de los modelos de IA más avanzados, a través de una interfaz sencilla y amigable.

Los usuarios pueden hacer preguntas por texto o voz, resolver dudas, cargar documentos para interactuar con ellos e incluso generar imágenes. Todo esto se realiza en un entorno seguro y controlado, sin preocuparse por la privacidad de los datos, ya que estos no se utilizan para entrenar modelos futuros.

Aprendizaje Adaptativo en el Tec

En el Tec de Monterrey utilizamos la estrategia de aprendizaje adaptativo para personalizar la educación. Esto implica aplicar métodos didácticos modernos, tecnología basada en análisis de datos y algoritmos avanzados de inteligencia artificial para diseñar rutas de aprendizaje a la medida de cada estudiante. De esta manera, su proceso educativo se vuelve más efectivo y eficiente, considerando su nivel, perfil y necesidades específicas.

Además, esta estrategia permite a los profesores identificar las áreas en las que su grupo tiene dificultades, lo que les ayuda a ajustar su manera de enseñar, mejorar el desempeño de los estudiantes y optimizar los resultados en general.

Esta herramienta es parte de nuestra iniciativa para garantizar el éxito de los estudiantes, ayudándolos a nivelar sus conocimientos desde el inicio de su programa académico, especialmente en materias STEM (ciencia, tecnología, ingeniería y matemáticas), que suelen ser clave en las primeras etapas de su formación.

Áreas estratégicas de recursos

Los principales recursos de IA con que se cuenta en el Tec de Monterrey están organizados en las siguientes áreas

CEDDIE

Dirigido a docentes en general

El CEDDIE apoya a los docentes en la incorporación de la inteligencia artificial en la práctica educativa a través de recursos, eventos y capacitaciones. Esto permite que los educadores mejoren el aprendizaje de sus estudiantes mediante herramientas y experiencias innovadoras

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Teaching Hub

Dirigido a docentes Tec

El Teaching Hub ofrece estrategias, actividades y recursos diseñados para potenciar el uso ético y eficaz de la inteligencia artificial en la educación. Su propósito es transformar la práctica docente mediante metodologías que fomenten el pensamiento crítico y la creatividad. Este sitio ha sido desarrollado por Innovación Educativa y Aprendizaje Digital.

Visita el sitio

Edutools

Dirigido a docentes Tec

Edutools Tec es una plataforma de Tecnología Educativa del Tec que reúne diversas herramientas diseñadas para generar y enriquecer experiencias de aprendizaje. Facilita a los docentes la aplicación de estas tecnologías en su práctica educativa, mientras fomenta una comunidad activa al compartir buenas prácticas sobre su uso. Esta plataforma ha sido especialmente reconocida por su aceptación entre colegas de Latinoamérica.

Visita el sitio

Integridad Académica

Dirigido a docentes y estudiantes Tec

Esta iniciativa promueve el uso ético y responsable de la inteligencia artificial en la educación, mediante directrices que aseguran su integración consciente y alineada con los valores institucionales.

Visita el sitio

Recursos educativos abiertos del IFE

Dirigido a comunidad en general

Esta iniciativa, desarrollada por el Observatorio del IFE, ofrece recursos abiertos para enriquecer clases, proyectos e investigaciones en inteligencia artificial generativa. Su objetivo es impulsar la innovación educativa y facilitar el acceso al conocimiento en áreas de vanguardia.

Visita el sitio

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Our Hubs

Digital Transformation Hub

The Digital Transformation Hub connects technology and business to drive digital evolution in dynamic environments. With a focus on talent, processes, and products, access digital transformation alongside strategic partners and innovative solutions, optimizing AI use to achieve key goals.

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More information

AI Hub

This Tecnológico de Monterrey initiative drives AI adoption in México and Latin America through research, education, entrepreneurship, and outreach. Discover how this hub efficiently and innovatively incorporates AI into areas like healthcare, the environment, and various industries, while supporting startups and promoting responsible, ethical technology use.

More information

Data Science Hub

This hub fosters solutions aligned with the UN’s Sustainable Development Goals through pillars like education, research, and entrepreneurship. It also features the Core Lab, a research lab with advanced data processing and infrastructure. Discover how Tecnológico de Monterrey drives multidisciplinary and innovative projects that strengthen the institution’s data and AI ecosystem.

Visit the Data Science Hub website

Visit the Core Lab Data Science website

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Nuestros Hubs

Hub de Transformación Digital

El Hub de Transformación Digital conecta la tecnología y los negocios para impulsar la evolución digital en entornos dinámicos. Con un enfoque en talento, procesos y productos, accede a la transformación digital de la mano de aliados estratégicos y soluciones innovadoras, optimizando el uso de IA para alcanzar objetivos clave.

Visitar Sitio

Más información

Hub de IA

Esta iniciativa del Tec de Monterrey impulsa la IA en México y América Latina con investigación, educación, emprendimiento y difusión. Descubre cómo este hub incorpora la IA de manera eficiente e innovadora en áreas como salud, medio ambiente y en distintas industrias, y conoce sus programas educativos y apoyo a startups mientras fomenta el uso responsable y ético de esta tecnología.

Más información

Hub de Ciencia de Datos

Este hub fomenta soluciones alineadas a los Objetivos de Desarrollo Sostenible de la ONU con pilares como educación, investigación y emprendimiento. Además, cuenta con el Core Lab: Un laboratorio de investigación en procesamiento moderno e infraestructura avanzada de datos. Conoce cómo el Tec de Monterrey impulsa proyectos multidisciplinarios e innovadores que fortalecen el ecosistema de datos e inteligencia artificial en la institución.

Ver sitio del Hub de Ciencia de Datos

Ver sitio del Core Lab Data Science