The seminar series offers an interdisciplinary forum for discussing Humanities and Social Science perspectives on artificial intelligence. We trace the historical fascination with building smart machines and discuss implications that machine learning has on our everyday lives, culture and society.

RobotIn the future, AI may be used to care for people. Photo credit wonry

About the seminars

What is this?

In our reading seminar we welcome participants to bring thoughts and questions about the texts that are presented in each session. In preparation to the seminars, we usually read 1-3 articles. The articles are briefly summarized at the beginning of each session. We encourage you to prepare questions, ideas, and remarks for a lively discussion. The seminars are held in English.

Who can participate?

The seminar is mainly directed at researchers who work within the Humanities and Social Sciences. It is open to anyone who is interested in societal implications of AI. Students are very welcome to join the discussions.

More information

If you would like to be added to the seminar mailing list, please contact Hannah Pelikan. The articles and Zoom link are shared via the mailing list.



The seminars are held the first Monday of each month, 13:00 to 15:00.

Coordinating with Robots

Monday, February 12

Eleonore Lumer (Bielefeld University)



Testing AI

Monday, March 4

Sergio Passero (IKOS),

Wadströmska Villan, Norrköping



Monday, April 8

Wadströmska Villan, Norrköping



Monday May 6


Previous seminars


Chatting with Large Language Models

Monday, October 2, 2023 - led by Hannah Pelikan, IKOS


AI Literacy

Monday, October, 23, 2023 - led by Katarina Sperling, IBL

AI and the Meaning of Work

Monday, November 27 - led by Yunchen Sun, IEI



AI & Sustainability

Monday, February 28, 2022 - Led by Katarina Sperling & Hannah Pelikan



AI, Language & Anthropomorphisation 

October 4, 2021 - Led by Leelo Keevallik & Hannah Pelikan, IKOS, SKI



AI & Culture

November 1, 2021 - Led by Bodil Axelsson, IKOS, KSFM 


  • Beatrice Fazi. "Beyond Human: Deep Learning, Explainability and Representation". Theory, Culture & Society, Nov 2020, 1-23. 
  • Adrian Mackenzie. Machine Learners. Archeology of a Data Practice. MIT Press, 2017. Chapter four Machines Finding Functions.
  • Joanna Zylinska. AI Art. Machine Vision and Wharped Dreams. Open Humanities Press, 2020. Chapter eight. Seeing like a Machine, Telling like a Human.


AI in Society

November 23, 2021

Strimman lecture with Hannah Pelikan and Ericka Johnson.


AI & Responsibility

December 6, 2021 - Led by Katherine Harrison, TEMA G 

Text: Madeleine Clare Elish (2019)