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Aligning Generalization Between Humans and Machines by Filip Ilievski & Barbara Hammer & Frank Harmelen & Benjamin Paassen & Sascha Saralajew & Ute Schmid & Michael Biehl & Marianna Bolognesi & Xin Luna Dong & Kiril Gashteovski & Pascal Hitzler & Giuseppe Marra & Pasquale Minervini & Martin Mundt &... is a book available to read on EtoBox.

What is Aligning Generalization Between Humans and Machines about?

Nature Machine Intelligence, doi:10.1038/s42256-025-01109-4Recent advances in artifcial intelligence (AI)—including generative approaches—have resulted in technology that can support humans in scientifc discovery and forming decisions, but may also disrupt democracies and target individuals. The responsible use of AI and its participation in human–AI teams increasingly shows the need for AI alignment, that is, to make AI systems act according to our preferences. A crucial yet often overlooked aspect of these interactions is the diferent ways in which humans and machines generalize. In cognitive science, human generalization commonly involves abstraction and concept learning. By contrast, AI generalization encompasses out-of-domain generalization in machine learning, rule-based reasoning in symbolic AI, and abstraction in neurosymbolic AI. Here we combine insights from AI and cognitive science to identify key commonalities and diferences across three dimensions: notions of, methods for, and evaluation of generalization. We map the diferent conceptualizations of generalization in AI and cognitive science along these three dimensions and consider their role for alignment in human–AI t

Author

Filip Ilievski & Barbara Hammer & Frank Harmelen & Benjamin Paassen & Sascha Saralajew & Ute Schmid & Michael Biehl & Marianna Bolognesi & Xin Luna Dong & Kiril Gashteovski & Pascal Hitzler & Giuseppe Marra & Pasquale Minervini & Martin Mundt &...

Publisher

x

Published

2025

Language

EN