Project funded by the State Secretariat for Digitalisation and Artificial Intelligence.
The main objective of this action plan is to create, implement and sustain in the medium and long term a new International Chair in Trustworthy Artificial Intelligence (legitimate, ethical, and robust) aimed at providing solutions to the different problems associated with the Demographic Challenge.
This main objective can be further subdivided into the following specific objectives (SOs), linked to a set of associated key results (KRs).
SO1 – Establish a Chair with cooperation links between a universiternational companies.
KR1: Cooperation links with at least 6 AI Chairs, 32 universities, 26 reseaKRh centres, 54 companies and 27 EDIH.
SO1.1 – To define an appropriate data governance plan for the management of the lifecycle of the data used for training ML models, especially with regard to privacy and the digital rights of users.
KR1.1: The data governance plan of the Chair.
SO1.2 – To design an ethical framework, on the basis of the European Commission's Trustworthy Artificial Intelligence guidelines, that will govern the research carried out at the Chair and promote European rights.
KR1.2: Chair’s framework for Trustworthy AI.
SO1.3 – To develop lasting university-business cooperation agreements at national, European, and international levels.
KR1.3: Established cooperation links with 22 universities and 30 European and international companies outside the national territory through the EDIH network.
SO2 – Bring advanced knowledge in AI for the Demographic Challenge to the enterprise through specific training activities.
KR2: 128 workers from 32 companies attending some of the 6 new training itineraries on the subject to be created.
SO2.1 – To promote the acquisition of new expertise in universities and entrepreneurship with the aim of addressing depopulation.
KR2.1: 8 Bachelor's Degree and 12 Master's Degree theses in the field of Trustworthy AI and the Demographic Challenge.
SO2.2 – To design new university degrees based on the potential synergies of the new PhD in Artificial Intelligence of the University of Salamanca under preparation.
KR2.2: A new Master's Degree in Artificial Intelligence and the Demographic Challenge.
SO2.3 – To equip key stakeholders, such as public administration bodies, associations and rural and local development agencies with knowledge in the field of AI applications.
KR2.3: 15 associations and development agencies and 8 public administration bodies participating in training pathways.
SO3 – Foster interdisciplinary research in the field of Trustworthy AI as a key tool to address the Demographic Challenge.
KR3: 8 interdisciplinary doctoral theses developed within the framework of the new Chair.
SO3.1 – To conduct interdisciplinary research studies in AI, economics, humanities, and gender studies for the Demographic Challenge.
KR3.1: 8 applied research and experimental development studies in AI, economics, sociology, agro-industrial engineering, and gender studies for the Demographic Challenge.
SO3.2 – To investigate algorithms and models of Natural Language Processing, Causal AI, TinyML or cognitive computing for solving Demographic Challenge problems.
KR3.2: 8 applied research and experimental development studies for rural dependent care, federated learning in low connectivity environments and cognitive manufacturing in agribusiness 5.0.
SO3.3 – To advance research into quantum AI and ML as future tools for solving problems of demographic migration, crop yields or climate change.
KR3.3: 8 basic research studies in the field of quantum algorithms, quantum optimisation (QAOA) and quantum machine learning (QML).
SO4 – Create a new virtual Living Lab for the dynamisation of experimental developments in Trustworthy AI and Demographic Challenge.
KR4: 100 Researchers, companies, universities and EDIH making use of the Data Space, the marketplace for cognitive services and creating dashboards for model explainability.
SO4.1 – To research and design a new semantic ontology for data modelling, ML models and metadata in the field of Trustworthy AI and the Demographic Challenge.
KR4.1: An ontology with 100 related entities in the 5 sub-domains of knowledge of the Demographic Challenge.
SO4.2 – To design an architecture based on Digital Twins and Federated Learning for the creation of ML models while protecting the privacy of user data.
KR4.2: 5 Digital Twin modelling and simulation of specific sub-domains within the Demographic Challenge.
SO4.3 – To encourage the exchange of data, ML models and cognitive services based on Trustworthy and problem-oriented AI for the Demographic Challenge.
KR4.3: A new European Data Space for the Demographic Challenge for the exchange of data repositories. A new marketplace for the creation and exchange of ML models and cognitive services.
SO5 – Spread the benefits of Trusted AI as a key tool to address the Demographic Challenge while protecting users' rights.
KR5: Publication of an open data catalogue and a virtual white paper on Trustworthy AI for the Demographic Challenge with existing work, guidelines, results and lessons learned.
SO5.1 – To disseminate the scientific and technical results of research through publications in specialised international journals and conferences.
KR5.1: New annual international conference on Trustworthy AI and the Demographic Challenge. 15 publications in high impact factor journals.
SO5.2 – To favour the transfer of research results—on AI and the Demographic Challenge—to business organisations, with a view to their industrialisation.
KR5.2: New international science-business cluster bringing together industry and academia to foster AI-based solutions to the Demographic Challenge.
SO5.3 – To stimulate entrepreneurship and the co-creation of new business models in the field of Trustworthy AI and the Demographic Challenge.
KR5.3: 8 intellectual and industrial property registrations. 4 new business models and/or companies created.