TAILOR - Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization (DIT.AD004.115)

Area tematica

Ingegneria, ICT e tecnologie per l'energia e i trasporti

Area progettuale

Struttura responsabile del progetto di ricerca

Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo" (ISTI)

Altre strutture che collaborano al progetto di ricerca

• Istituto per le applicazioni del calcolo "Mauro Picone" (IAC)
• Istituto di linguistica computazionale "Antonio Zampolli" (ILC)
• Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes" (IMATI)
• Istituto di scienze e tecnologie della cognizione (ISTC)

Responsabile di progetto

UMBERTO STRACCIA
Telefono: +39 050 621 2894
E-mail: umberto.straccia@isti.cnr.it

Abstract

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.

Data inizio attività

01/09/2020

Parole chiave

Artificial intelligence, intelligent systems, multi agent systems, Ontologies, neural networks, genetic programming, fuzzy logic, Artificial Intelligence & Decision support, Action planning, Knowledge representation and reasoning, Trustworthy ICT

Ultimo aggiornamento: 10/09/2024