Ilaria Canavotto

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About

Ilaria Canavotto is a leading researcher at the intersection of artificial intelligence, formal ethics, and legal reasoning. Her work centers on computational normative reasoning—how machines can acquire, represent, and apply ethical and legal norms in decision-making. In her highly cited paper "Piecemeal Knowledge Acquisition for Computational Normative Reasoning" (2022, 10 citations), Canavotto introduces a hybrid approach that draws from AI and law, modeling ethical reasoning on the human practice of decision-making under precedential constraints. This contribution is pivotal for advancing machine ethics, offering a structured method for systems to learn and adapt norms incrementally rather than through exhaustive rule sets. Her research has significant implications for autonomous systems, policy-making, and legal technology, bridging formal logic with practical AI design. Canavotto’s work is recognized for its clarity and innovation, earning her a growing influence in the emerging field of responsible AI. Her approach not only addresses current challenges in normative reasoning but also sets a foundation for more transparent, accountable, and ethically aligned artificial intelligence.