Artificial Intelligence (AI) and all the key digital technologies
that are subsumed by the term AI today are an essential part of the
answers to many of the daunting challenges that we are facing. AI will
impact the everyday lives of citizens as well as all business sectors.
To maximize the opportunities and minimize the risks, Europe focuses on
humancentered Trustworthy AI, and is taking important steps towards
becoming the worldwide centre for Trustworthy AI.Trustworthiness
however still requires significant basic research, and it is clear that
the only way to achieve this is through the integration of learning,
optimisation and reasoning, as neither approach will be sufficient on
its own.The purpose of TAILOR is to build a strong
academic-public-industrial research network with the capacity of
providing the scientific basis for Trustworthy AI leveraging and
combining learning, optimization and reasoning for realizing AI systems
that incorporate the safeguards that make them in the reliable, safe,
transparent and respectful of human agency and expectations. Not only
the mechanisms to maximize benefits, but also those for minimizing harm.
The network will be based on a number of innovative state-of-the-art
mechanisms. A multi-stakeholder strategic research and innovation
research roadmap coordinates and guides the research in the five basic
research programs. Each program forming virtual research environments
with many of the best AI researchers in Europeaddressing the
major scientific challenges identified in the roadmap. A collection of
mechanisms supporting innovation, commercialization and knowledge
transfer to industry. To support network collaboration TAILOR provides
mechanisms such as AI-Powered Collaboration Tools, a PhD program, and
training programs. A connectivity fund to support active dissemination
across Europe through for example allowing the network to grow and to
support the scientific stepping up of more research groups.
Duration
48 Months
Financial Institution
Unione Europea
Latest Announcements
Jobs
Bando 400-018-2023 ISTI PNRR
2023-12-03
Selezione per titoli e colloquio (art. 8 del “Disciplinare concernente le assunzioni di personale con contratto di lavoro a tempo determinato”) - Profilo professionale: Tecnologo liv. 3 (art. 83 del CCNL del Comparto “Istruzione e Ricerca” 2016-2018) Tempo Determinato - Numero...
Selezione pubblica per titoli e colloquio. Numero assegni: 1. Area scientifica: Informatica.Diplomi di laurea: Informatica, Ingegneria Informatica.Requisiti:
Esperienza nell’ambito della tematica di cui all’art. 1 dichiarato con le modalità di cui all’art. 4.;
Conoscenza d...
Selezione pubblica per titoli e colloquio. Numero assegni: 3. Area scientifica: Informatica, Ingegneria, Medicina e Biologia.Diplomi di laurea: Informatica, Ingegneria Biomedica, Ingegneria Informatica, Informatica per le discipline umanistiche, Scienze e Tecniche delle attivi...
Giovani in un'ora - Ciclo di seminari - Sesta parte
2023-11-09
Virginia Morini - "Netnography of mental health online supportive groups: Reddit case study"Abstract: Disclosing personal experiences for seeking mental health support is a well-established phenomenon in psychotherapy. Whereas therapy traditionally occurs between the therapist...
Selezione pubblica per titoli e colloquio. Numero assegni: 1. Area scientifica: Informatica.Diplomi di laurea: Informatica, Ingegneria Informatica, Ingegneria delle Telecomunicazioni.Requisiti:
Esperienza o conoscenza nell’ambito della tematica di cui all’art. 1 dichiarato ...
Selezione pubblica per titoli e colloquio. Numero assegni: 1. Area scientifica: Informatica.Diplomi di laurea: Informatica, Informatica per le Discipline Umanistiche, Ingegneria Informatica.Requisiti:
Titolo di Dottore di Ricerca pertinente di durata minima triennale;
Espe...
Selezione pubblica per titoli e colloquio. Numero assegni: 1. Area scientifica: Informatica.Diplomi di laurea: Informatica, Ingegneria Informatica.
Requisiti:
Esperienza o conoscenza nell’ambito della tematica di cui all’art. 1 dichiarato con le modalità di cui all’art. 4...
Giovani in un'ora - Ciclo di seminari - Quinta parte
2023-11-02
Alberto Veneri - "Explain the prediction of large language models used for ranking"Abstract: Understanding the behavior of deep neural networks for Information Retrieval is crucial to improving trust in these effective models.Current popular approaches to diagnose the predicti...