Sympathy, Empathy, and Twitter. Reflections on the Architecture of Social Media Based on an 18th-Century Debate : Taming the Machines - Artificial Intelligence, Digital Technologies, and the Future of Human Sociality

Link:
  • https://lecture2go.uni-hamburg.de/l2go/-/get/v/65082
Autor/in:
Beteiligte Person:
  • Regionales Rechenzentrum der Universität Hamburg/ MCC/ Lecture2Go
Verlag/Körperschaft:
Universität Hamburg
Erscheinungsjahr:
2023
Medientyp:
Audiovisuell
Schlagwort:
  • MIN-Fakultät
Beschreibung:
  • This semester`s edition of Taming the machines explores the positive and negative impacts of artificial intelligence and digital technologies on human sociality. Artificial intelligence (AI) and digital technologies increasingly mediate human interactions and shape our relationships to both ourselves and others. This gives rise to an array of important ethical questions about the future of human sociality: Will AI and other digital technologies provide extended opportunities for community building or individual self-expression, or rather hinder these? How might the radical changes such technologies promise, for example in the workplace, impact these routine spaces of social interaction? Can “trust” or “authenticity”, features important to strong interpersonal relationships and the formation of tolerant societies, find support through such technologies or might they rather threaten these? Are there good reasons to think AI might promote greater diversity in social interactions or provide vital spaces for meaningful and open exchanges of differing viewpoints, or are they likely to exacerbate social isolation, exclusion, and polarization? Might such technology enable greater collective decision making? The list goes on. To explore these and other questions, this public lecture series invites distinguished researchers from philosophy, sociology, social science and political theory to present and discuss their work. To get the latest updates and details how to attend the lectures, please visit http://uhh.de/inf-eit.
Beziehungen:
URL https://lecture2go.uni-hamburg.de/l2go/-/get/l/7232
Lizenz:
  • UHH-L2G
Quellsystem:
Lecture2Go UHH

Interne Metadaten
Quelldatensatz
oai:lecture2go.uni-hamburg.de:65082