Our courses on AI ethics, policy, and governance

This interactive workshop provides input on how to integrate ChatGPT in the writing process in a way that is compliant with ETH guidelines. We will discuss the basics of effective prompting and the diverse roles ChatGPT can play in writing process. Furthermore, we highlight the limitations and risks of this AI tool, including plagiarism.

The course provides an overview of the scientific, religious, technical and philosophical debates on the human quest for the creation of artificial life and artificial intelligence. In exemplary readings with subsequent discussion, the course explores the question of which aspects of the topic literary texts since antiquity, visual art and film negotiate.

In this seminar on "Critical Thinking", students are equipped with the essential skills needed to thrive in a dynamic, confusing and ever-changing field. It explores the fundamental principles of critical thinking and its application within the realm of research and technology.

This workshop focuses on understanding and managing the ethical and social issues arising from the integration of new technologies in various aspects of daily life.

Module in the CAS in Machine Learning in Finance and Insurance

In this collaborative seminar for ZHdK and ETH Students, the aim is to bring together the creative vision and the technical expertise of both of Film and Information Technology and Electrical Engineering students to collaboratively craft a plot for a short film that explores the intricate ethical questions posed by the use of AI technologies.

Creating reliable, secure, robust, and fair machine learning models is a core challenge in artificial intelligence and one of fundamental importance. The goal of the course is to teach both the mathematical foundations of this new and emerging area as well as to introduce students to the latest and most exciting research in the space. 

This three-day short course offers a critical overview and understanding of the ethical and regulatory challenges triggered by the use of big data and artificial intelligence (AI) in the health sector.

Visual analytics​​ supports the design of human-in-the-loop interfaces that enable human-machine collaboration. In this course, will go through the fundamentals of designing interactive visualizations, later applying them to explain and interact with machine leaning models.

This course introduces students to the ethical, cultural, and political contexts and consequences of digital technologies (big data, computing, Artificial Intelligence) and equips them with an interpretive social science toolkit for critical thinking and responsible action in a digital world.

This course explores the application of natural language processing techniques to texts in law, politics, and the news media. Students will put these tools to work in a course project.

Should we use this technology or not? What are the ethical opportunities and risks of this technological application? Should we always pursue all that is technically possible? What is ethics? How do ethics and technologies relate to each other? Does ethics hinder technological progress? How can ethics foster innovation? Which ethical theory should we apply in a global research-context? 

This course introduces core modeling techniques and algorithms from machine learning, optimization and control for reasoning and decision making under uncertainty, and study applications in areas such as robotics.