TRUST-AI
Joint Initiative for Trusted AI
Complementary expertise across engineering, governance, inclusion and regulation.
Roberta Calegari works on trustworthy AI engineering, algorithmic fairness, explainability and AI compliance. Her research focuses on translating responsible-AI principles into methods, tools and engineering practices.
Michela Milano contributes expertise in AI engineering practices and the operational implementation of responsible AI, including lifecycle management, development guidance and deployment-oriented methods.
Virginia Dignum leads work on responsible AI governance and ethics, including accountability, human-centred approaches, democratic values and institutional capabilities for AI oversight.
Payal Arora contributes research on inclusive and equitable AI, digital inclusion, human rights, intercultural perspectives and the societal effects of technology across diverse global communities.
Catherine Régis contributes expertise in AI regulation, public policy, science diplomacy and health-AI governance, with a focus on compliance, risk governance and regulatory innovation.