Safety and Fairness in Large AI Models

19 Sept 2024, 09:45
20m
Emmy-Noether-Saal

Emmy-Noether-Saal

Session 4. Large AI Models by and for Europe 🇬🇧 Session 4. Large AI Models by and for Europe

Speaker

Felix Friedrich (Hessian.AI, TU Darmstadt)

Description

In the burgeoning field of artificial intelligence, ensuring the safety and fairness of larg-scale models is paramount. This talk presents Aurora-M, a state-of-the-art multilingual model designed specifically for non-English, e.g. European, languages. Our focus lies in the safety tuning process of Aurora-M, highlighting innovative methodologies to mitigate biases and enhance the model's ethical integrity. We will delve into the broader implications of safety and fairness in large AI models, discussing best practices and challenges faced in the European context. Join us as we explore how Aurora-M exemplifies the commitment to creating AI that is not only powerful and versatile but also aligned with the values of fairness and safety.

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