Concept

Philosophy of artificial intelligence

Related courses (20)

This master course enables students to sharpen their proficiency in tackling ethical and legal challenges linked to Artificial Intelligence (AI). Students acquire the competence to define AI and ident

ChE-606: AI in chemistry and beyond: Trends in the field

Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledg

HUM-487: Law and computation I

This course provides students with insights into how law shapes our increasingly digital and artificially intelligent environments and how the law itself gets shaped within that process and is designe

ChE-607: AI in chemistry and beyond: Success stories

CS-430: Intelligent agents

Software agents are widely used to control physical, economic and financial processes. The course presents practical methods for implementing software agents and multi-agent systems, supported by prog

CIVIL-459: Deep learning for autonomous vehicles

Deep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,

ChE-605: AI in chemistry and beyond:Highlights in the field

AR-302(k): Studio BA6 (Huang)

The studio examines the effects of artificial intelligence on architecture and cities. We explore data-driven design processes by the use of algorithmic and parametric tools that take into considerati

ENG-466: Distributed intelligent systems

The goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture

ENG-704: EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strength

HUM-417: Philosophical perspectives on the exact sciences I

The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physi

ENV-530: Sustainability robotics

The goal of this course is to provide methods and tools of robotics in promoting sustainable development. The course is a balance between theoretical basics in robotics, associated case studies and pr

HUM-392: The Ethics and Law of Artificial Intelligence

This course enables students to sharpen their proficiency in tackling ethical and legal challenges linked to Artificial Intelligence (AI). Students acquire the competence to define AI and identify eth

HUM-122(b): Global issues: communication B

Ce cours présente les enjeux mondiaux de la communication en lien avec l'essor de l'intelligence artificielle (IA). L'approche interdisciplinaire intègre les SHS avec les sciences de l'ingénierie et i

HUM-333: Ethics of emerging technologies

This course examines key technological developments and challenges from an ethical and policy perspective. The primary aim of this course is to get students to think critically about the ethical-socia

HUM-486: Data in context: Critical Data Studies II

Le cours "Critical Data Studies" s'inscrit dans la nouvelle offre d'enseignements UNIL/EPFL qui propose de croiser des savoirs provenant des SHS et des sciences de l'ingénieur afin d'aborder des théma

HUM-485: Data in context: Critical Data Studies I

Le cours "Critical Data Studies" s'inscrit dans la nouvelle offre d'enseignements TILT qui propose de croiser des savoirs provenant des SHS et des sciences de l'ingénieur afin d'aborder des thématique

ChE-651: Artificial intelligence in chemistry and beyond (spring)

ChE-650: Artificial intelligence in chemistry and beyond (fall)

BIO-623: State of the Art Topics in Neuroscience XII

Surprise, Reward, and Curiosity are drives of human, animal, and robot behavior. The class links theories of reinforcement learning with human behavior beyond standard notions of reward.