
About the Project
Transparent, Reliable and Unbiased Smart Tool for AI
Due to their black-box nature, existing artificial intelligence (AI) models are difficult to interpret, and hence trust. Practical, real-world solutions to this issue cannot come only from the computer science world. The EU-funded TRUST-AI project is involving human intelligence in the discovery process. It will employ 'explainable-by-design' symbolic models and learning algorithms and adopt a human-centric, 'guided empirical' learning process that integrates cognition. The project will design TRUST, a trustworthy and collaborative AI platform, ensure its adequacy to tackle predictive and prescriptive problems and create an innovation ecosystem in which academics and companies can work independently or together.
Acronym
TRUSTAI
Responsible
Gonçalo Reis Figueira
Status
Closed
Starting Date
January 1, 2020
Ending Date
January 31, 2025
Effective End Date
January 31, 2025
Global Budget
€3,996,418.00
Funding
€898,750.00
Website
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Datasheet
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Members
Team Leaders
Dissemination
INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.






