MSAI630

Safe and Trustworthy AI

In this course, we will discuss ideas of safe and trustworthy AI from a socio-technical and ethical point of view. We will familiarize ourselves with concepts and approaches from various disciplines, including social sciences and humanities, and dive into the literature on trust, safety and trustworthiness. We will then use these perspectives to examine key (technical) aspects of AI technologies. These include for example privacy, security, bias and reliability. The aim is to develop skills and approaches to reflect on the interplay of social and technological aspects of AI technologies through a critical but constructive lens to develop them in a safe and trustworthy manner.

Spring 2026

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

No grade data available.