Project Map

The alignAI methodology at a glance

The alignAI project is built around a highly interdisciplinary training program
and research methodology designed to achieve the DN’s five research objectives:

• O1. Establish a unique doctoral training programme (i) equipping DCs with the capacity to work in interdisciplinary environments, (ii) providing high quality scientific training, (iii) equipping DCs with communication capacities and (iv) Disseminating knowledge beyond the beneficiary institutions
• O2. Identify the human values and user requirements/preferences that LLMs should align with
• O3. Explore implementable ways for applying the principles of explainability (XAI) and fairness in
  the specific context of LLM use to enable alignment with values identified in RIO1
• O4. Design and build value aligned LLM prototype tools based on outcomes from RIO1 and RIO2
• O5. Test & validate the technical prototype tools from RIO3 and the non-technical
  tools/methods/models from RIO1 and RIO2
• O6. Translate learnings from RIO1-RIO4 into research outputs, contextualising an “enabling
  environment” for value-aligned LLMs
  The doctoral training objective O1 is described in detail in Section 1.3.
  The five research objectives will be addressed in a context-specific way throughout the project by
  investigating them as part of three use-cases in: (i) Education, (ii) Positive Mental Health and (iii) Online
  News Consumption. Fig. 3. presents the proposed research methodology. This is followed by a detailed
  description of the research activities and their relevance for the project objectives.