Chair of Artificial Intelligence and Machine Learning
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AIM@LMU Ringvorlesung

The interdisciplinary lecture series "AI in Science and Society" („KI in Wissenschaft und Gesellschaft“), in which the social relevance of AI and the importance of AI in different scientific fields are to be examined, is one component of the planned new Minor "AI as a major Minor." Although the range of courses is still being prepared, we would like to offer this lecture as a trial in the coming summer semester. The lecture will take place either in person or online, Wednesdays from 15 to 17h. The lecture series is open to all members of the LMU community. Stay tuned to this website for up-to-date information.

When: Wednesdays 15 to 17h

Where: Geschw.-Scholl-Pl. 1 (A) - A 120

(tentative shedule)

27.04.2022 no lecture

04.05.2022 no lecture

11.05.2022 Prof. Dr. Rudolf Seising (Forschungsinstitut für Technik- und Wissenschaftsgeschichte Teilprojekt "Automatisches Beweisen", Deutsches Museum, München) 
"Geschichten der Künstlichen Intelligenz"

Der schillernde Begriff der Künstlichen Intelligenz (KI) steht für ein wissenschaftliches Fachgebiet. Als solches wurzelt es in etablierten wissenschaftlichen Disziplinen, mit je nach Perspektive unterschiedlicher Gewichtung, u.a. Logik, Elektrotechnik, Informatik, Mathematik, Hirnforschung, Psychologie. Dementsprechend können sowohl die Anfänge als auch die Entwicklungspfade der KI sehr unterschiedlich erzählt werden. In diesem Vortrag werden einige dieser Erzählungen präsentiert.

18.05.2022 Prof. Dr. Nicola Lercari (Institute for Digital Cultural Heritage Studies, LMU Munich) 
"AI for the Study of Ancient Cultures"

AI is gaining prominence in the study of ancient civilizations by providing new automated methods for analyzing large corpora of geospatial, material, textual, natural, and artistic data. For instance, Machine Learning algorithms are now widely used for the identification and classification of objects in archaeological collections and ancient features in the contemporary landscape. However, archaeologists using these techniques also face ethical and intellectual challenges. This lecture reviews recent AI applications in archaeology and intends to spark a debate on their role in studying and interpreting the human past.

25.05.2022 Prof. Dr. Frauke Kreuter (Chair of Statistics and Data Science in Social Sciences and the Humanities (SODA))
"AI Fairness and Social Inequality: Why having the right data matters"

Artificial intelligence (AI) and Big Data offer enormous potential to explore and solve complex societal challenges. In the labor market context, for instance, AI is used to optimize bureaucratic procedures and minimize potential errors in human decisions. AI is also applied to identify patterns in digital data trails. Data trails are created when people use smartphones and IoT devices or browse the internet, for example. Unfortunately, the fact that all of this is dependent on social and economic contexts is often ignored when AI is used, and the importance of high-quality data is frequently overlooked. There is growing concern about the lack of fairness—an essential criterion for making good use of AI, and growing concern about the lack of diversity in data. This lecture introduces a framework that allows students to understand what to look out for when evaluating the quality of data streams and outlines the latest developments in the use of AI and Big Data with applications in economics, social research, and policymaking.

01.06.2022 Prof. Dr. Daniel Gruen (Lehrstuhl für Astrophysik, Kosmologie und Künstliche Intelligenz) "Artificial Intelligence for cosmological insights"

08.06.2022 Prof. Dr. Gitta Kutyniok (Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence) "Towards Reliable AI: The Impact of Mathematics "

15.06.2022 Prof. Dr. Barbara Plank (Center for Information and Language Processing (CIS))

22.06.2022 Prof. Dr. Mario Haim (Chair of the Department of Media and Communication) "AI and News Online: Production, Distribution and Use"

29.06.2022 Dr. Chiara Gianoli  (Chair of Experimental Physics and Medical Physics) "AI in Medical Physics"

06.07.2022 Prof. Dr. Stefan Feuerriegel (Chair of the Institute of AI in Management) "Leveraging AI to reach the Sustainable Development Goals"

13.07.2022 Prof. Dr. Sahana Udupa (Professor of Media Anthropology, Institut für Ethnologie) "AI and Extreme Speech Online "

20.07.2022 Prof. Dr. Michael Ingrisch (Head of Clinical Data Science at the LMU Klinikum) "AI in Radiology"

27.07.2022 Prof. Dr. Ines Helm (Professor of AI in Economics) "AI and the Labor Market"