Seminar - Responsible Artificial Intelligence

This seminar focuses on the independent exploration and presentation of current research topics in Responsible Artificial Intelligence (Responsible AI). Students will work with scientific literature, analyze recent developments, and present their findings in both written and oral form.

Each trimester focuses on a different topic within Responsible AI, covering areas such as bias, fairness, explainable AI (XAI), accountability, and robustness, as well as the broader societal, ethical, and regulatory implications of AI systems. The seminar promotes critical discussion and the development of scientific writing, research, and presentation skills.

• HT23 Focus: Responsible use of generative models

This trimester focused on the responsible development and use of generative AI models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The seminar explored both the capabilities and the societal implications of generative models across domains such as image synthesis, text generation, anomaly detection, and simulation.