Teresa Scantamburlo

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About

Teresa Scantamburlo is a leading voice in the ethics and dependability of artificial intelligence, focusing on how to build AI systems that are not only powerful but also trustworthy and socially responsible. Her work sits at the intersection of computer science, philosophy, and law, exploring the human and societal implications of algorithmic decision-making. Her most-cited paper, “Machines We Trust: Perspectives on Dependable AI” (2021, 18 citations), provides a foundational framework for designing AI that earns human confidence, particularly in high-stakes domains like healthcare, criminal justice, and finance. Scantamburlo’s contributions go beyond technical robustness; she investigates the ethical dimensions of AI, including fairness, accountability, transparency, and the prevention of harm. She has also been instrumental in shaping European policy discussions on AI regulation, advocating for human-centered design and inclusive governance. Her work is widely referenced by researchers and practitioners seeking to bridge the gap between algorithmic performance and societal trust. Through her interdisciplinary approach, Scantamburlo continues to influence how we think about, build, and regulate the intelligent systems that increasingly shape our lives.