HS: Computational Social Science II: PWM-CS-HS2: Computational Social Science II: Theory for Computational Social Science

Dozent/in:

Andreas Jungherr

Angaben:

Hauptseminar, 2 SWS

Termine:

Do, 14:00 - 16:00, F21/03.02

Voraussetzungen / Organisatorisches:

An-/Abmeldung in FlexNow zur Prüfung, NICHT zur Lehrveranstaltung: Montag 03.04.2023, 10:00 Uhr bis Sonntag, 30.04.2023, 23:59 Uhr.

PWM-CS-HS3: Computational Social Science III: Forschungsprojekt in der CSS

Dozent/in:

Andreas Jungherr

Angaben:

Hauptseminar, 2 SWS

Termine:

Mi, 14:00 - 16:00, Raum n.V.
Neuer Veranstaltungsort: WE5/01.006

Seminar für Abschlussarbeiten in Digitale Transformation (PWB-AB / PWM-AB)

Dozent/in:

Andreas Jungherr

Angaben:

Seminar, 2 SWS

Termine:

Di, 16:00 - 18:00, FMA/00.08

Inhalt:

Die Veranstaltung richtet sich an Studierende, die ihre Bachelor- oder Masterarbeit im Fach Politikwissenschaft schreiben, insbesondere mit einem Schwerpunkt auf Computational Social Science oder der Steuerung komplexer technologischer Systeme. Die Wahl entsprechender Forschungsmethoden steht Ihnen offen und leitet sich von Ihrem Forschungsgegenstand ab.

VS: Steuerung technischer Systeme: PWB-ST-VS: Artificial Intelligence and democracy

Dozent/in:

Andreas Jungherr

Angaben:

Vertiefungsseminar, 2 SWS

Termine:

Do, 10:00 - 12:00, F21/03.79

Voraussetzungen / Organisatorisches:

An-/Abmeldung in FlexNow zur Prüfung, NICHT zur Lehrveranstaltung: Montag 03.04.2023, 10:00 Uhr bis Sonntag, 30.04.2023, 23:59 Uhr.

Inhalt:

As artificial intelligence (AI) continues to advance, it becomes increasingly crucial to understand its economic, social, and political implications. This course, "Artificial intelligence and democracy," aims to provide students with a comprehensive and realistic understanding of AI's impact on democracy and the public arena.

Throughout this course, we will first establish the foundational knowledge for social scientists to engage in the broader discourse on AI, its mechanisms, and the prerequisites for successful implementation. We will then explore the effects of AI on five key aspects of democracy: self-rule and opportunities for public engagement, the public arena, equality, electoral processes, and the contest between democratic and autocratic systems of governance.

The seminar will delve into the history, concepts, theories, and research methods related to the intersection of AI and democracy. We will examine the interplay between digitalization, society, and politics, as well as the various investigative approaches used in this field. Relevant topics will be discussed in the context of current international case studies, offering students an in-depth understanding of the complex relationship between AI and democratic processes.
Objectives:

• Understanding of concepts, theories, interdependencies and methods of investigating governance of digital change;
• Knowledge of the central theoretical and research methodological paradigms of relevant research perspectives and the advantages and disadvantages of different approaches;
• Understanding of the applicability and transfer of theories and paradigms of different scientific fields regarding the governance of digital change.

If you have any questions about registering for this course, please contact Ms. Katharina Kachelmann katharina.kachelmann@uni-bamberg.de.

Empfohlene Literatur:

• Agrawal, A., Gans, J., & Goldfarb, A. (2022). Prediction machines: The simple economics of artificial intelligence (Updated and expanded edition). Harvard Business Review Press.
• Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. Farrar, Straus and Giroux.
• Risse, M. (2023). Political theory of the digital age: Where artificial intelligence might take us. Cambridge University Press.
• Smith, B. C. (2019). The promise of artificial intelligence: Reckoning and judgment. The MIT Press.