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.
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.
