Summary of Aligning Generalisation Between Humans and Machines, by Filip Ilievski et al.

Aligning Generalisation Between Humans and Machines

by Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann

First submitted to arxiv on: 23 Nov 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary The paper discusses the importance of understanding how humans and machines generalize differently, which is crucial for effective human-AI teaming. It highlights the need for AI systems to out-of-domain generalize like humans do, but also notes that current AI approaches may disrupt democracies and target individuals. The paper combines insights from AI and cognitive science to identify key commonalities and differences across three dimensions: notions of generalisation, methods for generalisation, and evaluation of generalisation. By mapping the different conceptualisations of generalisation in AI and cognitive science along these three dimensions, the paper reveals interdisciplinary challenges that must be tackled to provide a foundation for effective human-AI teaming scenarios.
Low	GrooveSquid.com (original content)	Low Difficulty Summary The paper looks at how humans and machines learn from experiences and make decisions differently. It talks about how AI is getting better at doing things on its own, but this can also cause problems. The paper says we need to understand how humans and machines think differently so we can work together better. It’s like a big puzzle, and the paper helps us figure out where the pieces fit together.