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

Allgemeine Informationen

Veranstaltungsname	Vorlesung: Introduction to the Ethics of Artificial Intelligence (CS-BWP-PHIL, PO19/20; CS24-BP-EAI, PO24)
Untertitel
Veranstaltungsnummer	8.30601
Semester	SoSe 2025
Aktuelle Anzahl der Teilnehmenden	283
erwartete Teilnehmendenanzahl	200
Heimat-Einrichtung	Ethics of AI
beteiligte Einrichtungen	Forschungsstelle Geschlechterforschung (FGF), Forschungszentrum Data Science, Institut für Philosophie
Veranstaltungstyp	Vorlesung in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Dienstag, 15.04.2025 14:00 - 16:00, Ort: 15/E10
Art/Form
SWS	2
Primäre Unterrichtssprache	Englisch / English
ECTS-Punkte	4

Lehrende

• Prof. Dr. Rainer Mühlhoff

Tutor/-innen

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

Räume und Zeiten

15/E10

Dienstag: 14:00 - 16:00, wöchentlich (14x)

01/E01

Dienstag, 15.07.2025 14:00 - 16:00

01/B01

Dienstag, 15.07.2025 14:00 - 16:00

Studienbereiche

• 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

Modulzuordnungen

• Bachelor of Science Informatik > CS-BWP-PHIL - Philosophie für die Kognitionswissenschaft gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-PHIL - Philosophie für die Kognitionswissenschaft gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-PHIL - Philosophie für die Kognitionswissenschaft gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-PHIL - Philosophie für die Kognitionswissenschaft gültig ab WiSe 2019/20
• Bachelor of Science Informatik > CS24-BP-EAI - Einführung in die Ethik der Künstlichen Intelligenz gültig ab WiSe 2024/25
• Bachelor of Science Cognitive Science > CS24-BP-EAI - Einführung in die Ethik der Künstlichen Intelligenz gültig ab WiSe 2024/25
• 2-Fächer-Bachelor Philosophie > PHI-FWB - Freier Wahlbereich
• 2-Fächer-Bachelor Philosophie > PHI-FWB-NF - Freier Wahlbereich Nebenfach

Kommentar/Beschreibung

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).