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78306-01 - Seminar: (Gen)AI & Society (3 KP)
| Semester | Frühjahrsemester 2026 |
| Angebotsmuster | unregelmässig |
| Dozierende | Johanna Einsiedler (johanna.einsiedler@unibas.ch, BeurteilerIn) |
| Inhalt | This course examines how AI—particularly large language models (LLMs)—is transforming work, occupations, and labor markets. Drawing on new empirical research, real-time economic data, and hands-on experimentation, we will study how AI is adopted in the workplace, how it changes productivity and task content, and how it may reshape the future of specific occupations. We will cover recent literature from economics, organizational behavior, and computer science. We will analyze and discuss exposure to AI tools, productivity effects, worker–AI complementarity, and early labor market adjustments. In addition we will critically reflect on ethical, governance, and societal implications, including inequality, bias, and public attitudes toward AI. This seminar will be a mixture of discussion and experimentation. Participants will be expected to read ±2 scientific papers every week, participate actively, lead discussions and design and run their own AI-based mini-experiments. Based on these, participants will be tasked to evaluate whether and how AI can augment or automate selected tasks within a chosen occupation. |
| Lernziele | Understand how generative AI is being adopted across firms, workers, and occupations. Design and run AI-based mini-experiments and evaluate model outputs with attention to accuracy, hallucination risks, and failure modes. Critically discuss issues of bias, fairness, accountability, transparency, and safety in workplace AI applications. |
| Teilnahmevoraussetzungen | No prior coding experience is required. The number of participants is limited. In case of over-subscription, students of Digital Humanities will be given priority. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Montag | 14.15-16.00 | Kollegienhaus, Seminarraum 107 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Montag 23.02.2026 | 14.15-16.00 Uhr | Fasnachtswoche |
| Montag 02.03.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 09.03.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 16.03.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 23.03.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 30.03.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 06.04.2026 | 14.15-16.00 Uhr | Osterwoche |
| Montag 13.04.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 20.04.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 27.04.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 04.05.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 11.05.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 18.05.2026 | 14.15-16.00 Uhr | Kollegienhaus, Seminarraum 107 |
| Montag 25.05.2026 | 14.15-16.00 Uhr | Pfingsten |
| Module |
Modul: Digital Humanities, Culture and Society (Master Studienfach: Digital Humanities) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | This course has a learning-by-doing format. Students must bring their own laptops to the course. Only two absences are permitted; medical attestation is required for further absences. Use of generative AI is encouraged. |
| An-/Abmeldung zur Prüfung | Anmelden: Belegen; Abmelden: nicht erforderlich |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch |
| Anbietende Organisationseinheit | Digital Humanities Lab |