Lecture: Introduction to the Ethics of Artificial Intelligence (CS-BWP-PHIL, PO19/20; CS24-BP-EAI, PO24) - Details

General information

Course name	Lecture: Introduction to the Ethics of Artificial Intelligence (CS-BWP-PHIL, PO19/20; CS24-BP-EAI, PO24)
Subtitle
Course number	8.30601
Semester	SoSe 2025
Current number of participants	276
expected number of participants	200
Home institute	Ethics of AI
participating institutes	Forschungsstelle Geschlechterforschung (FGF), Forschungszentrum Data Science, Institute of Philosophy
Courses type	Lecture in category Offizielle Lehrveranstaltungen
First date	Tuesday, 15.04.2025 14:00 - 16:00, Room: 15/E10
Type/Form
SWS	2
Primary Language of Instruction	Englisch / English
ECTS points	4

Lecturers

• Prof. Dr. Rainer Mühlhoff

Tutors

• Sean Quägwer, B.A.
• Frieda Marie Schrader
• Lan Anh Vu

Rooms and times

15/E10

Tuesday: 14:00 - 16:00, weekly (14x)

01/E01

Tuesday, 15.07.2025 14:00 - 16:00

01/B01

Tuesday, 15.07.2025 14:00 - 16:00

Fields of study

• Veranstaltungen > Cognitive Science > Bachelor-Programm
• Schnupperstudium > Schnupper Uni > Cognitive Science
• Veranstaltungen > Philosophie > Nebenfach Philosophie > Veranstaltung aus dem freien Wahlbereich (PHI-FWB- NF)
• Veranstaltungen > Philosophie > Freier Wahlbereich (PHI-FWB)
• Uni für Alle > Cognitive Science
• Geschlechterforschung

Module assignments

• Bachelor of Science Informatik > CS-BWP-PHIL - Philosophy for Cognitive Science valid from WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-PHIL - Philosophy for Cognitive Science valid from WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-PHIL - Philosophy for Cognitive Science valid from WiSe 2019/20
• Master of Science Mathematik > CS-BWP-PHIL - Philosophy for Cognitive Science valid from WiSe 2019/20
• Bachelor of Science Informatik > CS24-BP-EAI - Introduction to the Ethics of Artificial Intelligence valid from WiSe 2024/25
• Bachelor of Science Cognitive Science > CS24-BP-EAI - Introduction to the Ethics of Artificial Intelligence valid from WiSe 2024/25
• 2-Fächer-Bachelor Philosophie > PHI-FWB-NF - Elective Courses Minor
• 2-Fächer-Bachelor Philosophie > PHI-FWB - Elective Courses

Comment/Description

This lecture provides an introduction to the emerging field of the Ethics of AI. It is open to all interested students of all levels, including those from the humanities, as well as scientific and technical disciplines.

The lecture is an ideal starting point to get an orientation in the field and to possibly start engaging with more specialized courses and/or research projects in the context of the Ethics and Critical Theories of AI group at the IKW.
The lecture will provide an overview of problems, philosophical theories and methods that comprise the field(s) of Ethics and Critical Theories of AI. This includes both the philosophical foundations of ethics, critical theory and some aspects of social philosophy (such as power) as well as different technological phenomena and legal aspects of AI. A particular focus will be contemporary data-driven and machine learning-based AI technology and its applications in digital consumer media. As we will see, questions of social equality and fairness are central to today's ethical concerns about AI, so that ethics needs to adopt a societal perspective, analyzing constellations of power, subjectivation, discrimination and subordination that relate to AI technology. Ethics will be framed in relation to intersectional critical philosophy, feminist and post-colonial theories. We will also touch upon relevant legal debates such as privacy and data protection legislation and AI regulation.

The lecture is hybrid and will be available in three formats: On site in the lecture hall; live stream on BBB; and asynchronous participation via video recordings. Discussion groups will be either in person or online.

Notice that for this lecture there are separate discussion groups (Übung) to which you have to subscribe separately. For the lecture you will earn 4 ECTS points based on a written exam (Klausur), for the discussion group another 4 ECTS points (requirements will be detailed in the first lecture).