31
May
![Teaser image to Artificial Intelligence in Culture and Arts: Jascha Viehstädt](/images/logos/hmtm.png)
Artificial Intelligence in Culture and Arts: Jascha Viehstädt
Module 2: Performing Arts
31.05.2023
5:00 pm - 6:30 pm
Online
Deep.Dance, an AI-created work by Jascha Viehstädt, investigates the boundaries of machine creativity. It raises questions about AI's role in creative processes, exploring the potential and limits of artificial neural networks, probability theory, and big data analysis. The discussion addresses the future of creative corporeality in the 21st century.
Related
![Link to KI - Der Anfang vom Ende oder einfach nur nützlich?](/images/logos/bergson.webp)
©Bergson
Presentation • 14.10.2024 • Bergson Kunstkraftwerk Studio, Rupert-Bodner-Str. 5, 81245 München
KI - Der Anfang vom Ende oder einfach nur nützlich?
Together with Constanze Zawadzky (Innovation Park AI), MCML PI Reinhard Heckel will give interested parties an insight into the world of artificial intelligence.
![Link to Nachgefragt – Ethikgespräche an der LMU: Kann ChatGPT denken?](/images/events/2024-07-16-nachgefragt.webp)
©geralt - pixabay.com
Lecture • 16.07.2024 • LMU Munich, Main Building, M 210 und online via Zoom
Nachgefragt – Ethikgespräche an der LMU: Kann ChatGPT denken?
David Lauer from the University of Kiel questions if we're in the age of thinking machines, exploring what "thinking" means and AI's true capabilities and limitations …
![Link to Methodological Advances in Experimental Design](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
Lecture • 16.07.2024 • LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Methodological Advances in Experimental Design
Talk by Drew Dimmery from the Hertie School Data Science Lab, about improving experimental design for treatment assignment, HTE estimation, and online assignment.
![Link to Patient Risk Stratification through a Causal Lens](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
Lecture • 09.07.2024 • LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Patient Risk Stratification through a Causal Lens
The talk by Jenna Wiens from the University of Michigan examines why many sepsis risk tools fail and suggests using causal reasoning for better outcomes.
![Link to Large Language Models in the Age of Misinformation](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
Lecture • 04.07.2024 • LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)
Large Language Models in the Age of Misinformation
Francesco Pierri from Politecnico di Milano discusses the risks of generative AI, such as GPT-4 and Midjourney, in spreading disinformation and targeting individuals.