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Transversal Subjects

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence Introduction to Artificial Intelligence
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Transversal Subjects Introduction to Artificial Intelligence
(towards a human use of AI)

What do we wish being human to mean in the era of Artificial Intelligence?

The purpose of this course is to have a conversation and share answers to that question (“what do we wish being human to mean in the age of AI?”), engaging students in what we consider to be the most important conversation of our time.

The objective is to form a complete idea of the potential impact of AI, not only in the future of work and in potential business models, but also in the possible transformation of humans as a species and its existential risks.

Unlike other courses, this one will be approached from a holistic, humanistic and technological perspective, challenging the student to reflect and give their personal response to the questions that we will ask ourselves during the program.

In each topic, we seek for students to face it from their own individual subjectivity, their tools, their intellectual abilities and their own situation.

Learning Goals

  • Arouse critical thinking regarding the risks and opportunities that AI will bring us in this century, its potential impact on human beings and the need to respond as a species.
  • Acquire a basic understanding of the functioning of AI and mastery of its terminology, as well as knowing different approaches and implementation strategies for intelligent algorithms (neural networks, causal networks, genetic algorithms, etc.).
  • Understand the brief history of AI, its context and dichotomies, and the roots and reasons for its periods of flourishing and frustration. Introduction to the thought of some of its academic, business and informative gurus.
  • Form an opinion on the current point of the conversation around things like the technological singularity, superintelligence, transhumanism, the metaverse, and the potential systemic effects of algorithms.
  • Learn to discern between the machine territory and the human territory.

Subject Contents

Introduction to Artificial Intelligence

  • Module 1: AI as an existential risk
  • Module 2: History of AI, from 1956 to today. Dichotomies, tensions, flourishing and frustration. great gurus.
  • Module 3: Different approaches to AI. Intuition of different algorithms and techniques (no previous mathematical knowledge is required).
  • Module 4: Great AI Challenges: Singularity, Transhumanism, Superintelligence, Abundance, Ethics, Transparency, Interpretability, Explainability, and Robustness
  • Module 5: Exponential organizations and the future of labor


Carlos Rebate Sánchez Professor of Introduction to Artificial Intelligence

Carlos Rebate Sánchez