851-0450-00L  Digital Ethics and Politics

Lehrveranstaltungen

Katalogdaten

Kurzbeschreibung	This course introduces students to the ethical, cultural, and political contexts and consequences of digital technologies (big data, computing, Artificial Intelligence) and equips them with an interpretive social science toolkit for critical thinking and responsible action in a digital world.
Lernziel	By the end of the course, students will be able to identify issues of ethical or political significance around digital technologies, analyze them in systematic ways using key concepts from the study of technology and society and deploy their analysis to intervene in and shape public debates about issues of importance to them. Learning Objective 1: Students will have developed a command of the key interpretive social science concepts ("STS lenses") for the analysis of the ethics and politics of digital societies. Assessment 1: Analytic essay (30% of final grade): take-home, graded according to a rubric Learning Objective 2: Students will be able to identify their own ethical positionality in contexts of digital societies. Assessment 2: 4 reflection exercises (10% of final grade): 500 words each, graded for completion Learning Objective 3: Students will be able to intervene in and shape the public debate about an ethical or political issue in contexts of digital societies by producing effective communications using their situated perspectives and systematic arguments. Assessment 3: Course project (60% of final grade), consisting of: • Individual write-up of approximately 750-1000 words (30%), graded according to a rubric • Participation in mock debate (10%) • Team synthesis (10%) • Team presentation (10%)
Inhalt	Data-driven services and artificial intelligence-powered processes inform how people act in and know the world. These new tools, systems, and infrastructures have profound consequences for how people think of themselves, relate to one another, organize collective life, and envision desirable futures. This course examines how data and computing are entangled with diverse human contexts (histories, institutions, political cultures, and material bases) and ethics (values, norms, identities, and visions of the good). We will bring frameworks and methods from Science, Technology and Society (STS), such as cross-national comparison, co-production, and controversy studies, and historically-grounded perspectives to bear on topics that include: ● The dynamic relationship between data, computing, democracy, and law; ● The role of data and computing in the development of scientific and political expertise and public reason ● Transformations in forms of collective life (e.g. sensors, machine learning, and artificial intelligence and changing landscapes of labor and industry) ● Transformations in how life is governed with data and computing tools (e.g. how governments and corporations provide public goods such as health and security to citizens) ● Local and global approaches to the governance of data and computing technologies ● The meaning of responsibility in data science and computing practice amid shifts in human subjects, community, and political institutions
Kompetenzen	Fachspezifische Kompetenzen Konzepte und Theorien geprüft Methodenspezifische Kompetenzen Analytische Kompetenzen geprüft Entscheidungsfindung gefördert Problemlösung gefördert Projektmanagement geprüft Soziale Kompetenzen Kommunikation geprüft Kooperation und Teamarbeit gefördert Menschenführung und Verantwortung geprüft Selbstdarstellung und soziale Einflussnahme geprüft Sensibilität für Vielfalt geprüft Verhandlung gefördert Persönliche Kompetenzen Anpassung und Flexibilität geprüft Kreatives Denken geprüft Kritisches Denken geprüft Integrität und Arbeitsethik geprüft Selbstbewusstsein und Selbstreflexion geprüft Selbststeuerung und Selbstmanagement geprüft

Leistungskontrolle

Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte	3 KP
Prüfende	M. Boenig-Liptsin
Form	benotete Semesterleistung
Prüfungssprache	Englisch
Repetition	Repetition nur nach erneuter Belegung der Lerneinheit möglich.

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Studiengang	Bereich	Typ
Geschichte und Philosophie des Wissens Master	Vorlesungen und Vorlesungen mit Übungen	W
Wissenschaft im Kontext (Science in Perspective)	Politologie	W