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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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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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