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Human(e) AI (EN)

Triggered by the speed at which applications of artificial intelligence are emerging and changing the very way in which society organizes itself, we see an important role for research to help lay the foundations for responsible, trustworthy and value-driven AI. Four new appointed university professors in AI, together with a team of researchers, operate in the context of UvA’s Research Priority Area Human(e) AI. This synthesises ongoing work and stimulates new research on the societal consequences of AI in a wide variety of societal areas.


The information below concerns the course Human(e) AI for semester 1, 2020-2021.
This course ties in directly with the topic of this Research Priority Area Human(e) AI and addresses important questions in a wide range of contexts, including: AI and Democracy,  AI in Cultural Heritage, Regulatory issues around AI, AI in Medical Image Analysis, Natural Language Processing, and the Human-AI Interaction. We offer 10 guest lectures by experts in the field, each of which will end with a concrete problem for students to work on individually and in a group. During the work-group sessions, students collaborate on writing a piece for a column in a newspaper or online blog, on one of the topics treated in this course.

Confirmed guest lectures

Theo Araujo, Assistant Professor in Communication Science

Tobias Blanke, University Professor of Humanities and AI

Natali Helberger, University Professor in Law and Digital Technology

Ivana Išgum, University Professor of AI and Medical Imaging

Julia Noordegraaf, Professor of Digital Heritage, Faculty of Humanities

Maarten de Rijke, University professor of AI and Information Retrieval

Sonja Smets, Professor of Logic and Epistemology

Claes de Vreese, Professor of Political Communication

Jelle Zuidema, Assistant Professor in Cognitive Science and Computational Linguistics.

Teaching format

Lectures and workgroup sessions in which students collaborate on a selection of topics


You can find the timetable on Datanose

Learning objectives

At the end of the course the student can:

  • Identify the opportunities and risks of AI in a range of different context.
  • Formulate questions about the impact of AI and reflect upon its societal consequences.


Students hand in written summaries of guest lectures one week after the lectures have taken place. Students select one topic treated in class and work on an individual essay which has a deadline at the end of June. During the work-sessions in the month of May, students work together in small teams on writing a piece for a column in a newspaper or online blog on one of the topics treated in this course. Note that in addition to the material provided in the guest lectures, students are expected to explore their selected topic a bit further (e.g. by conducting an interview, using online educational video’s, looking for examples from newspapers etc.).

Study materials

Slides of the guest lectures are made available to the students and references to additional literature will be provided in class.


Check the website

Number of participants


Entry requirements

Open to second and third year bachelor students.


This course is open for UvA students and other interested parties, such as contract students or students from other institutions. You can register from 9 june until a week before the start of the course. 

Registration UvA students (look for code: 5512 HUAI6Y).

Registration other interested parties

Other parties, such as contract students and UvA staff can only take part as auditor and do not take part in the exam(s).

If you have any trouble while registering please contact: 

Recommended prior knowledge

Students interested in AI and its consequences for society, no technical AI-background is required.


The lectures are offered in English.

All course information will be made available on Canvas.

Human(e) AI (EN)
Mode Short-term, open uva courses
Credits 6 ECTS,
Language of instruction English
Starts in November