|
Lehrende: Quoc-Tan Tran
Veranstaltungsart:
Mittelseminar
Anzeige im Stundenplan:
Data ethics
Semesterwochenstunden:
2
Credits:
5,0
Unterrichtssprache:
Englisch
Min. | Max. Teilnehmerzahl:
- | -
Weitere Informationen:
.
WICHTIGE Hinweise vom Studienbüro zum SoSe 23
Kommentare/ Inhalte:
What constitutes good data? How is data prepared, and who decides what counts as data? Who is responsible for producing good data work? In the age of rapidly expanding data science and computing capacities, the social effects of data technology will not become apparent until widespread adoption of the technology has occurred. Once data technology is widely used, regulations might be less effective at mitigating its negative consequences. This is the case with data science, which requires a new mindset and methods of doing research, together with new digital tools. Data specialists face ethical challenges while managing data and designing procedures as they attempt to create accessible and reusable knowledge. This seminar will introduce the societal impact of data science and such ethical concerns as privacy rights and data validity. In examining the everyday work of data practitioners, we look at the emerging challenges that influence the design and function of data science products.
Throughout this seminar, we articulate our views on the diverse themes that underpin the ethical debates in the age of big data: data economies, data asymmetries, algorithmic bias, digital language divide, and indigenous perspectives in global knowledge regimes.
This course is open to both bachelor's and master's degree students.
Literatur:
Edwards, P. N. (2017). Knowledge Infrastructures for the Anthropocene. The Anthropocene Review, 4(1), 34–43.
Stiegler, B. (2016). The Future of Work. Automatic society: Vol. 1. Cambridge: Polity Press.
Thylstrup, N. B. (2018). The politics of mass digitization. Cambridge, Massachusetts: The MIT Press.
Winner, L. (1977). Autonomous technology: Technics-out-of-control as a theme in political thought. Cambridge, Mass.: MIT Press.
Wylie, C. D. (2021). Preparing Dinosaurs: The Work behind the Scenes. Cambridge, MA: The MIT Press.
Zwitter, A. (2016). The Network Effect on Ethics in the Big Data Age. In A. Bunnik (Ed.), Big data challenges: Society, security, innovation and ethics (pp. 23–34). London, England: Palgrave Macmillan.
Modulkürzel:
56-105 (5 LP)
BA HF/NF: EKW (fsb13-14)- HF-M3, NF-M3, NF-M5, M11, SG, WB-Kultur;
MA: M7/WB-FV fachliche Vertiefung
56-105 (7 LP) mit MAP
BA HF/NF: EKW (fsb13-14)- HF-M3, NF-M3, HF-M5, NF-M5
Zusätzliche Hinweise zu Prüfungen:
sowie HINWEISE / FRIST ZU ABMELDUNGEN VON VERANSTALTUNGEN /PRÜFUNGEN FÜR ALLE STUDIERENDEN ( einschl. Anmeldungen über Studium Generale/Wahlbereiche)
DIE ABMELDEPHASE ENDET AM 05.05.2023 um 13h
ACHTUNG: Eine späte Abmeldung ab dem oben genannten Datum ist nicht gestattet!!
|
