Inteligencia Artificial centrada en el ser humano

Go to Course: https://www.coursera.org/learn/inteligencia-artificial-centrada-en-el-ser-humano

Introduction

### Course Review: "Inteligencia Artificial centrada en el ser humano" on Coursera **Overview:** The course "Inteligencia Artificial centrada en el ser humano" provides a fascinating exploration into the foundations of artificial intelligence, addressing its historical background, key concepts, and philosophical implications. As the world becomes increasingly intertwined with AI technologies, this course stands out by situating AI within a human-centric framework. With a focus on ethical and social ramifications, this course is a must for anyone interested in understanding not only how AI works but also what it means for society at large. **Course Objectives:** 1. Recognize and understand the main ideas surrounding human-centered AI. 2. Explore the dynamics of human-system interactions. 3. Analyze the ethical and social implications of AI technologies. 4. Deepen the understanding of autonomy in intelligent systems. **Syllabus Breakdown:** 1. **Tema 1: ¿Qué es inteligencia?** - This opening module sets the stage by defining intelligence and the complexities that surround it. It challenges participants to consider what it truly means to "think" and "speak" a language, laying a philosophical groundwork that is critical for understanding subsequent topics. 2. **Tema 2: Interacciones entre humanos y sistemas** - Delving into the interaction between humans and technological systems, this section examines cooperation and differentiates it from mere interaction with machines. It introduces various machine learning types and their comparisons with human learning processes, providing empirical insights into the dynamics of cooperation in various contexts. 3. **Tema 3: Confiar o no confiar** - This module tackles the concept of intelligent environments and ubiquitous computing in the context of the Fourth Industrial Revolution. It encourages learners to think critically about the ethical implications of AI, asking important questions about trust, security, and societal impact. 4. **Tema 4: Autonomía y supervisión** - The final topic focuses on autonomy and oversight of intelligent systems. Through the lens of autonomous vehicles, participants gain a clear understanding of different types of autonomy and how these concepts affect human-machine collaboration. This is increasingly relevant as AI technologies continue to permeate everyday life. **Why You Should Take This Course:** - **Interdisciplinary Approach:** The course uniquely blends technology with philosophy, ethics, and sociology, appealing to a broad audience, including technologists, ethicists, and curious minds alike. - **Critical Analysis:** Students are encouraged to critically analyze AI’s implications, fostering a thoughtful perspective on technology’s role in society. - **Real-World Applications:** By using relatable examples, such as autonomous vehicles, learners can better grasp complex concepts and see their relevance in real-world scenarios. - **Expert Instructors:** The course is led by knowledgeable instructors who guide you through these intricate topics, making challenging concepts accessible. **Recommendation:** I highly recommend "Inteligencia Artificial centrada en el ser humano" to anyone interested in the intersection of technology, ethics, and human experience. Whether you are an industry professional, a student, or simply someone intrigued by the rapid advancements in AI, this course offers invaluable insights that will enhance your understanding of human-centered technology in our modern world. Engage with the materials, participate in discussions, and reflect on the themes presented; they will undoubtedly enrich your perspective on artificial intelligence as it continues to shape our lives.

Syllabus

Tema 1. ¿Qué es inteligencia?

En este segundo tema se analiza la cooperación humana y la diferencia entre esa forma de interactuar y una co-acción de seres humanos y sistemas tecnológicos. Además, se discuten diferentes tipos del aprendizaje de máquina y su relación con el aprendizaje de humanos. Conocerás el trasfondo empírico de la cooperación humana y profundizarás en el concepto de "aprendizaje humano".

En este tema se conceptualiza la idea del entorno inteligente y del ubiquitous computing en la así llamada Cuarta Revolución Industrial para abordar las implicaciones éticas y sociales del uso de la inteligencia artificial.

En este último tema se presentan los diferentes tipos de autonomía para profundizar el concepto de la co-acción con sistemas inteligentes. Se aplica esa conceptualización a través del ejemplo de los vehículos autónomos.