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Generative AI

Dr. Hsien-Chin Lin
Dialogue Systems and Machine Learning, Data Science, HHU

Abstract: Generative Artificial Intelligence has greatly influenced our daily lives. With instructions in natural language, generative models can generate impressive results across various tasks, such as translation, summarization, image generation, or even writing poems and code. In this talk, we will focus on large language models, a popular type of generative AI, discussing how to train LLMs and why they can solve so many different tasks. In addition, we will also talk about challenges in LLMs and how to tackle them.

Bio: Hsien-Chin Lin received his Ph.D degree at the Heinrich-Heine-University in Düsseldorf, Germany, supervised by Prof. Dr. Milica Gašić. He has been supported by funding from the European Research Council (ERC) under the Horizon 2020 research and innovation programme (Grant agreement No. STG2018_804636), and is working within the 'Lamarr Fellow Network Ramp Up' project.

Hsien-Chin Lin's research interests include user simulation, dialogue systems, and natural language understanding. He is also interested in reinforcement learning, adversarial learning and other machine learning topics. His research has been published in SIGDIAL, SIGIR and EMNLP.

Seven Sins and Ten Commandments of AI Regulation

Jun.-Prof. Dr. Johann Justus Vasel, LL.M (NYU)
Public law with special consideration of legal issues of AI, HHU

Abstract: The lecture analysis the emerging regulatory landscape of AI in a global perspective with a special focus on the AI Act. Following flaws, false promises, deficits and shortcomings of AI regulation will be portrayed. Finally the lecture will present ideas and guidelines on how to improve regulation.

Bio: Johann Justus Vasel studied Law and Economics at the University of Bayreuth and the Julius Maximilian University of Würzburg with a focus on public international and European law. Subsequent to his studies, he worked at the Human Rights Center (Potsdam), received his doctorate from the University of Hamburg, did his legal traineeship at the Berlin Court of Appeal, completed his master's degree at New York University and has been a Max Weber Fellow at the European University Institute, Florence. In the past he held a position as Visiting Professor for Law & Economics at the University of St. Gallen (Switzerland) and researched at the Institute for Law & Economics at Hamburg University. Johann Justus Vasel, is currently Professor for Public Law with a Focus on Legal Aspects of Artificial Intelligence at the Heinrich-Heine-University Düsseldorf, serves as a Board Member of the HeiCAD and is coordinator of the legal use case within the Manchot-Research Group.  His wide research interests span from legal philosophy and constitutional law to European and public international law with a special focus on AI. 

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