Francesca Rossi
TL;DR Francesca Rossi is a leading researcher in AI ethics whose work focuses on value-aligned AI, responsible governance, and the development of trustworthy intelligent systems.
Francesca Rossi is one of the world’s most respected voices in AI ethics and responsible artificial intelligence. Her work centers on how intelligent systems can be aligned with human values, governed safely, and deployed in ways that support human wellbeing. With a background spanning both theoretical computer science and applied AI policy, she brings a unique combination of academic rigor and practical influence to global discussions on ethical AI.
Francesca Rossi is an accomplished computer scientist whose research spans constraint reasoning, preference modeling, and ethical frameworks for AI. She spent many years as a professor at the University of Padua, contributing to foundational work in computational logic and intelligent decision-making.
She later joined IBM as the company’s first Global AI Ethics Leader, where she guides research and policy around responsible AI development. In this role, she helps define governance frameworks, fairness methodologies, and value alignment principles for AI systems built at a global scale.
Francesca is also deeply involved in international AI governance. She has served in leadership roles within major organizations focused on AI policy and ethics, and she frequently collaborates with governments, research institutions, and industry groups to ensure AI progresses in a safe and trustworthy direction.
Global AI Ethics Leader at IBM, shaping responsible AI policy and research
Professor of computer science, contributing primary research in constraint reasoning and preference modeling
Pioneering work on value-aligned AI, focusing on how intelligent systems can reflect human principles
Leadership roles in international AI policy, guiding global discussions on governance and safety
Influential voice in fairness, transparency, and responsible AI deployment
Contributor to interdisciplinary efforts bridging technical AI research with ethics, philosophy, and public policy
