FoodTrust AI
Project
Professional Competence, Credentials and Curricula for AI-Assisted Decision-Making in the European Food Sector
FOODTRUST AI develops learning pathways for accountable AI-assisted decision-making in the European food sector, connecting higher education, vocational training and continuing professional development. It creates a competence framework for food professional roles at EQF levels 4–8, modular curricula and stackable micro-credentials. A shared digital simulator uses realistic food safety, quality, sustainability and traceability scenarios to help learners practise validating AI outputs, documenting decisions and determining when to override or escalate recommendations. Enterprise decision labs with food SMEs inform curriculum design and test practical adoption tools. Educator training, open educational resources and institutional embedding support continued use of the learning pathways and credentials.
ACEEU's Role: Quality Assurance and Credential Validation
ACEEU leads quality assurance and impact evaluation, establishing shared standards, coordinating peer review and monitoring the quality and outcomes of project activities. It works with research, education and enterprise partners to assess learning materials, simulator scenarios and learner evidence portfolios, using feedback and evaluation findings to support continuous improvement. Drawing on its accreditation and learning recognition expertise, ACEEU validates the competence framework and micro-credential architecture against EQF, ESCO, EQAVET and European higher education quality standards. It guides assessment requirements and credential stacking, coordinates European Digital Credential issuance through Europass, and supports institutions and training providers in adopting the credentials. ACEEU also oversees independent external evaluation with the coordinator and maintains arrangements for post-project credential verification.
SDG relation:
