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Technical University of Munich

Aligning LLM Technologies with Societal Values (alignAI)

Large Language Models (LLMs) are trained on broad data, using self-supervision at scale, to complete a wide range of tasks. Wider use of LLMs has risen in recent months due to applications such as ChatGPT. Although LLMs bring many opportunities to improve our everyday lives, the impacts on humans and society have not yet been prioritized or fully understood. Given the rapid development of these tools, the risk of negative implications is significant if LLMs are not developed and deployed in a way that is aligned with human values and responds to individual needs and preferences. 

To mitigate any negative consequences, academia, in close collaboration with industry, the alignAI Doctoral Network will train 17 doctoral candidates (DCs) to work in the international and highly interdisciplinary field of LLM research and development. The core of the project focuses on the alignment of LLMs with human values, identifying relevant values and methods for alignment implementation. Two principles provide a foundation for the approach: 1) explainability is a key enabler for all aspects of trustworthiness, accelerating development, promoting usability, and facilitating human oversight and auditing of LLMs; 2) fairness is a key aspect of trustworthiness, facilitating access to AI applications and ensuring equal impact of AI-driven decision-making. The practical relevance of the project is ensured by three use cases in education, positive mental health, and news consumption. This approach allows us to develop specific guidelines and test prototypes and tools to promote value alignment. 

Project co-PIs

  • Prof. Dr. Anna Keune, Assistant Professorship of Learning Sciences and Educational Design Technologies, TUM School of Social Sciences and Technology, Technical University of Munich
  • Prof. Dr. Stephan Wensveen, Department of Industrial Design, Eindhoven University of Technology
  • Prof. Dr. Sneha Das, Assistant Professor at the Department of Applied Mathematics and Computer Science Cognitive Systems, Technical University of Denmark

LS Design Research Staff

  • Xiaoyu Wang, TUM School of Social Sciences and Technology, Technical University of Munich
  • Santiago Hurtado, TUM School of Social Sciences and Technology, Technical University of Munich

Funding: EU Marie Skłodowska-Curie Actions
Duration: 2025 - 2028
Project website: https://alignai.eu/ 
Social media channel: LinkedIn

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