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Artificial Intelligence, Entrepreneurship, Art & Ethics


Dozent/in Prof. Dr. theol. lic. phil. Peter G. Kirchschläger; Adrian Notz, AI + Art Curator, ETH AI Center; Kevin Sartori, Co Founder Auterion; Viviana Gropengiesser, Director Entrepreneurship, ETH AI Center
Veranstaltungsart Hauptseminar
Code FS231517
Semester Frühjahrssemester 2023
Durchführender Fachbereich Theologie
Studienstufe Bachelor Master
Termin/e Fr, 24.02.2023, 09:15 - 18:00 Uhr, 3.A05
Fr, 24.03.2023, 09:15 - 18:00 Uhr, 3.A05
Umfang 2 Semesterwochenstunden
Inhalt

Imagine a dog with a collar and a leash. With limited freedom, its path ends abruptly. With limited possibilities, it is under duress. It can be controlled, led through life, will be held back from beautiful things, protected from the bad, with its endeavour and exploration attempts end in nothing. The dog’s desires have its master in the collar and the leash. The tethered dog succumbs to the will that acts on the collar through the leash. It can be punished with a tight collar, or re-warded with treats and amenities. We risk being like the dog.

We must consider and choose now – based on an interdisciplinary dialogue between AI, entrepreneurship, art, and ethics – how we will hold the leash and choose the path, rather than becoming the dog of machines.

In order to avoid becoming the dog, this interdisciplinary seminar strives to develop a vision and concrete steps how AI in conjunction with art, entrepreneurship as well as with ethics will bring about a “golden age” for humans and the planet.

This seminar is a joint seminar between the ETH Computer Science Department and its AI Center as well as University of Lucerne’s Institute of Social Ethics ISE.

In the seminar we will look at the current urgent topic of ethics in digital transformation from a ethical, social, and political perspective, from an artistic perspective and from an entrepreneurial perspective.

In transdisciplinary tandems the students will be develop their own Arttech business ideas and present these.

The seminar will take place at the University of Lucerne in Lucerne, and at the ETH Zurich in Zurich.
Schlagworte Nachhaltigkeit; Gender/Diversity
Lernziele Students
- understand the ethical dimension of the digital transformation;
- know principles, standards and reference frameworks for ethical orientation in the face of digital transformation;
- recognize opportunities and risks of the digital transformation from an ethical perspective;
- acquire competencies for identifying and dealing with ethical issues and moral dilemmas in the area of digital transformation;
- perceive themselves as bearers of responsibility and change agents in view of the opportunities and risks of digital transfor-mation from an ethical perspective.Offen für Hörer/innen
Voraussetzungen Für Bachelorstudierende Theologie: Vorlesung des Fachbereichs Theologische Ethik
Sprache Bilingue - Deutsch / Englisch
Begrenzung 16 Teilnehmende
Anmeldung
Verpflichtende Anmeldung an/Themenabsprache mit alexandra.kaiser@unilu.ch bis spätestens 14.02.2023
Prüfung - Bestätigte Teilnahme (2 Cr) (= Bestätigte Teilnahme)
- Bestätigte Teilnahme mit Referat (3 Cr) (= Bestätigte Teilnahme mit Zusatzleistung)
- Benotete schriftliche Arbeit (4 Cr)
Abschlussform / Credits Bestätigte Teilnahme / 2 Credits
Bestätigte Teilnahme mit Zusatzleistung / 3 Credits
Benotete schriftliche Arbeit / 4 Credits
Kein Abschluss / 0 Credits
Entscheidung im Mai / 0 Credits
Hinweise Pflichtinhalt gem. SPO 2013:
Theologische Ethik: Fundamentalmoral: "Grundlegung einer theologischen Ethik"; "Freiheit, Gewissen, Gesetz";
Theologische Ethik: Spezialmoral: "Christliche Tugendlehre"; "Ehe und Familie, Geschlechtlichkeit"; "Bioethik";
Theologische Ethik: Sozialethik
Hörer-/innen Nein
Kontakt peter.kirchschlaeger@unilu.ch
Literatur

Kirchschläger, Peter G., Digital Transformation and Ethics. Ethical Considerations on the Robotization and Automatization of Society and Economy and the Use of Artificial Intelligence. Baden-Baden: Nomos 2021.

Crawford, Cate, Atlas of AI, New Haven: Yale University Press 2021.

Audry, Sofian, Art in the Age of Machine Learning, Cambridge MA: The MIT Press 2021.