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Projekt Ethik und Epistemologie der KI (6 LP)

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#50958 / #6

Seit SoSe 2025

English

Project Ethics and Epistemology of AI (6 LP) (Ethics and Epistemology of AI)
Projekt Ethik und Epistemologie der KI (6 LP) (Ethik und Epistemologie der KI)

6

Ammon, Sabine

Benotet

Portfolioprüfung

English, German

Zugehörigkeit


Fakultät V

Institut für Werkzeugmaschinen und Fabrikbetrieb (IWF)

35362000 FG Wissensdynamik und Nachhaltigkeit in den Technikwissenschaften

Maschinenbau

Kontakt


PTZ 10

Lhuillier-Kühnelt, Marine Maude

m.lhuillier-kuehnelt@tu-berlin.de

https://www.philtech.tu-berlin.de/menue/studium_und_lehre/parameter/de/

Lernergebnisse

Knowledge • acquiring an understanding of foundational concepts of Philosophy and Ethics of Artificial Intelligence (AI) and their application in research and practice in the field • acquiring an overview of the current ethical challenges in AI • transdisciplinary perspectives on these said challenges (including sociological, ecological, political, economic, cultural, historical issues, etc.) Skills • critical discussion and evaluation of various current perspectives among ethical debates in Philosophy and Ethics of AI • development of own argumentative positions based on the fundamental concepts of Philosophy and Ethics of AI (articulation of logical reasoning supported by examples) • drafting of current and practical case studies in relation to contemporary societal challenges and assessment of these case studies through interdisciplinary perspectives Competencies • ability to apply methods of interdisciplinary cooperation, specifically at the intersection of humanities/social sciences and natural/technical sciences • ability to discuss and integrate critical feminist, queer and anti-racist perspectives on science, i.e., how sociotechnical problems surrounding race, gender, sexuality, status, class, ability etc. relate to institutional structures of power and domination • effective self-management in a collaborative group setting

Lehrinhalte

The module “Ethics of AI” takes an innovative and experimental approach to ethics with an interdisciplinary focus enabled by collaboration between the Computer Science, Engineering Science and Philosophy of Technology departments. It involves engaging with the theoretical and practical approaches that address the intersection of ethics and technology, in this case AI. Students will learn to critically assess the relationship between technology and society and to analyze the interactions between technology and society from an ethical perspective. Furthermore, students will deal with the deconstruction of the concept of neutrality of technology and learn to critically assess it. At the same time, the environment will be taken as a stakeholder in its own right in order to consider the impact of technological applications from a sustainability perspective. The module will provide students with the necessary theoretical foundations stemming from both computer science (in particular AI and digital technologies) and ethics. This knowledge will be put into practice and deepened through case-based projects carried out in interdisciplinary groups. The projects will address the current challenges encountered through the use of AI technologies in different fields of application (e.g., medical, financial, social etc.), as well as discuss different implementations and possible avenues of research that could enable the development of ethically acceptable AI systems. Students will prepare a presentation of their project as well as a scientific poster.

Modulbestandteile

Compulsory area

Die folgenden Veranstaltungen sind für das Modul obligatorisch:

LehrveranstaltungenArtNummerTurnusSpracheSWS ISIS VVZ
Project Ethics and Epistemology of AI (6 LP)PJ3536 L 1002WiSe/SoSeen4
ISIS-Kurssuche nach Veranstaltungen des Moduls

Arbeitsaufwand und Leistungspunkte

Project Ethics and Epistemology of AI (6 LP) (PJ):

AufwandbeschreibungMultiplikatorStundenGesamt
Attendance15.04.0h60.0h
Pre/post processing15.08.0h120.0h
180.0h(~6 LP)
Der Aufwand des Moduls summiert sich zu 180.0 Stunden. Damit umfasst das Modul 6 Leistungspunkte.

Beschreibung der Lehr- und Lernformen

Inverted classroom, guest lectureres, activities with the Berlin Ethics Lab Project-based work: presentations, group discussions, independent work in a small group, individual supervision of the small group, peer review

Voraussetzungen für die Teilnahme / Prüfung

Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen:

None (No prior knowledge of either ethics or technology is required, only a strong interest in these topics)

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Dieses Modul hat keine Prüfungsvoraussetzungen.

Abschluss des Moduls

Benotung

Benotet

Prüfungsform

Portfolio examination

Art der Portfolioprüfung

100 Punkte insgesamt

Sprache(n)

English, German

Prüfungselemente

NamePunkteKategorieDauer/Umfang
Presentation20mündlich10 min
Presentation30mündlich10 min
Final submission50flexibel5-6 pages

Notenschlüssel

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Prüfungsbeschreibung (Abschluss des Moduls)

Presentation 20 % Presentation 30 % Final submission 50%

Dauer des Moduls

Für Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt:
1 Semester.

Dieses Modul kann in folgenden Semestern begonnen werden:
Winter- und Sommersemester.

Maximale teilnehmende Personen

Die maximale Teilnehmerzahl beträgt 30.

Anmeldeformalitäten

Please enrol via the electronic registration system. Please register in the Isis course before the start of lectures. Further information will be provided at the beginning of the semester under ISIS and in the course catalogue. Please note current information.

Literaturhinweise, Skripte

Skript in Papierform

Verfügbarkeit:  nicht verfügbar

 

Skript in elektronischer Form

Verfügbarkeit:  nicht verfügbar

 

Literatur

Empfohlene Literatur
Keine empfohlene Literatur angegeben

Zugeordnete Studiengänge


Diese Modulversion wird in folgenden Studiengängen verwendet:

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Biomedizinische Technik (M. Sc.)11SoSe 2025SoSe 2025
Civil Systems Engineering (M. Sc.)11SoSe 2025SoSe 2025
Computer Engineering (M. Sc.)13SoSe 2025SoSe 2025
Computer Science (Informatik) (M. Sc.)14SoSe 2025SoSe 2025
Elektrotechnik (M. Sc.)12SoSe 2025SoSe 2025
Fahrzeugtechnik (M. Sc.)11SoSe 2025SoSe 2025
Human Factors (M. Sc.)22SoSe 2025SoSe 2025
Information Systems Management (Wirtschaftsinformatik) (M. Sc.)11SoSe 2025SoSe 2025
Medienwissenschaft (M. A.)11SoSe 2025SoSe 2025
Urban Design (M. Sc.)11SoSe 2025SoSe 2025

Sonstiges

Keine Angabe