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Human(e) AI (EN)

How can we create responsible, trustworthy and value-driven AI? Triggered by the speed at which applications of artificial intelligence are emerging and changing the very way in which society organises itself, we see an important role for research to help lay the foundations for responsible, trustworthy and value-driven AI.

Five 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 social consequences of AI in a wide variety of societal areas. 

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, such as 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 over 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.


Ms. Aybüke Özgün

Learning objectives

By the end of this course, students will be able to:

  • Describe, critically analyse, and ask relevant questions about the impact of the development of AI on individuals and society
  • Identify the opportunities and risks of AI in a range of different context
  • Report, both verbally and in writing, on practical and conceptual challenges that arise from the wide uses and applications of AI
  • Bring together knowledge from various relevant domains with regard to a specific case within the domain of human(e) AI
  • Distil the core elements and main arguments from a presentation about AI, gaining as such a basic, high-level understanding of the fundamental aspects of several AI systems used/designed in the sciences, in the humanities, and in society.

Tentative list of guest lecturers:

  • Theo Araujo, Assistant Professor in Communication Science
  • Arianna Betti, Professor of Philosophy of Language
  • Tobias Blanke, University Professor of Humanities and AI
  • Ashley Burgoyne, Assistant Professor in Computational Musicology
  • Raquel Fernandez Rovira, Associate Professor in Computational Semantics and Pragmatics
  • Ronald de Haan, Assistant Professor in Computer Science 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
  • Maarten de Rijke, University Professor of AI and Information Retrieval
  • Sonja Smets, Professor of Logic and Epistemology
  • Claes de Vreese, University Professor of AI and Society
  • Jelle Zuidema, Associate Professor in Cognitive Science and Computational Linguistics.

Teaching format

  • Lecture
  • Presentation/Symposium
  • Tutorials and Workgroup sessions in which the lecturers help students understand and appreciate the content of the guest lectures, provide guidance for students with their individual and group assignments. During workgroup sessions, students collaborate on a selection of topics.


There will be three components to determine the final grade:

  • Lecture summaries (individual assignment): written summaries of guest lectures one week after the lectures have taken place.
  • Essay (individual assignment): select one topic treated in class to work on an individual essay, to be handed in at the end of period 2.
  • Group presentation and writing task (group assignment): During the workgroup sessions in the month of January, 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. They will then give a short “pitch” presentation of their writing piece at the end of January.

Please 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 videos, looking for examples from newspapers, and finding additional relevant literature).

Entry requirements

Open to second-year and third-year Bachelor’s students.

Study material

  • Literature: Literature related to the guest lectures will be suggested by the lecturers, and made available on Canvas.
  • Syllabus: The course syllabus will be made available on Canvas shortly before the course starts in period 2.
  • Other: Slides of the guest lectures will be made available to the students and references to additional literature will be provided in class.


You can find the timetable on Datanose.

Recommended prior knowledge

Interest in AI and its consequences for society, no technical AI background is required.

Number of participants



UvA students can register from 7 June 2021 (look for code 5512HUAI6Y in SIS) until one week prior to the start of the course. If you have any trouble while registering, please contact us at keuzeonderwijs-iis@uva.nl.

Other interested parties, such as contract students or students from other institutions, can register from 7 June 2021 until one week prior to the start of the course by completing the registration form. Please note: contract students can only participate as an observer, they do not participate in tutorials, assignments or the exam.


Check the website.

SDGs in education

The IIS strives to reflect current societal issues and challenges in our elective courses, honours modules and degree programmes, and attempts to integrate the following Sustainable Development Goals (SDGs) in this course. For more information about these goals, please visit the SDGs website.

Facts & Figures
Mode Short-term,
Credits 6 ECTS,
Language of instruction English
Conditions for admission
Starts in November