At the 11th International Summer School on AI and Big Data, Prof. Fredrik Heintz (Linköping University, Sweden) will give a keynote speech on Towards Trustworthy and Factual Large Language Models.

Towards Trustworthy and Factual Large Language Models

Europe has taken a clear stand that we want AI, but we do not want just any AI. We want AI that we can trust. This talk will present ongoing research from the EU project TrustLLM which has the goal of developing more factual and trustworthy large language models. To achieve the ambitious objectives of this project, TrustLLM will tackle the full range of challenges of LLM development, from ensuring sufficient quality and quantity of multilingual training data, to sustainable efficiency and effectiveness of model training, to enhancements and refinements for factual correctness, transparency, and trustworthiness, to a suite of holistic evaluation benchmarks validating the multi-dimensional objectives.

Prof. Fredrik Heintz

Prof. Fredrik Heintz is a Professor of Computer Science at Linköping University, where he leads the Division of Artificial Intelligence and Integrated Computer Systems (AIICS) and the Reasoning and Learning lab (ReaL). His research focus is artificial intelligence especially Trustworthy AI and the intersection between machine reasoning and machine learning.

• Director of the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED)
• Co-director of the Wallenberg AI, Autonomous Systems and Software Program (WASP)
• Coordinator of the TrustLLM project
• Vice President for AI Research Adra the AI, Data, and Robotics partnership
• Member of the Swedish AI Commission
• Fellow of the Royal Swedish Academy of Engineering Sciences (IVA)