Projet alignAI (Horizon Europe, appel à projets 2023)
Action : Doctoral Networks
Panel : Social Sciences and Humanities
Statut du projet : SIGNED

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, needs to train the next generation of researchers to understand the complexities of the socio-technical implications surrounding the use of LLMs. 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. First, explainability is a key enabler for all aspects of trustworthiness, accelerating development, promoting usability, and facilitating human oversight and auditing of LLMs. Second, 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. We follow a unique methodological approach, with DCs from social sciences and humanities “twinned” with DCs from technical disciplines for each use case (9 DCs in total), while the other 8 DCs carry out horizontal research across the use cases.

Mots clés : llms, xai, cxai, trustworthy ai, ethical ai, value alignment, interdisciplinarity

Participants :
- Datacation bv (Pays-Bas) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- École polytechnique fédérale de Lausanne (Suisse) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Technion - Institut de technologie d'Israël (Israël) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Technion - Institut de technologie d'Israël (Israël) — Partner, beneficiary, Organismes privés (hors enseignement), subvention : 271432.8 €
- Idiap Research Institute (Suisse) — Partner, associated partner, Recherche, subvention : 0.0 €
- Université de Copenhague (Danemark) — Partner, associated partner, Enseignement supérieur ou secondaire, subvention : 0.0 €
- Université technique de Munich (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 1302696.0 €
- Esh médias editions sa (Suisse) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université de technologie d'Eindhoven (Pays-Bas) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 1097481.6 €
- Fujitsu (Germany) (Allemagne) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €
- Université technique du Danemark (Danemark) — Partner, beneficiary, Enseignement supérieur ou secondaire, subvention : 603576.0 €
- Capital Region of Denmark (Danemark) — Partner, beneficiary, Organismes publics (hors enseignement & recherche), subvention : 301788.0 €
- Dpg media b.v. (Pays-Bas) — Partner, associated partner, Organismes privés (hors enseignement), subvention : 0.0 €