Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Páez Andrés"'
Autor:
Páez, Andrés
In the natural and social sciences, it is common to use toy models -- extremely simple and highly idealized representations -- to understand complex phenomena. Some of the simple surrogate models used to understand opaque machine learning (ML) models
Externí odkaz:
http://arxiv.org/abs/2410.05675
Autor:
Páez, Andrés
In a recent paper, Erasmus et al. (2021) defend the idea that the ambiguity of the term "explanation" in explainable AI (XAI) can be solved by adopting any of four different extant accounts of explanation in the philosophy of science: the Deductive N
Externí odkaz:
http://arxiv.org/abs/2403.00315
Autor:
Longo, Luca, Brcic, Mario, Cabitza, Federico, Choi, Jaesik, Confalonieri, Roberto, Del Ser, Javier, Guidotti, Riccardo, Hayashi, Yoichi, Herrera, Francisco, Holzinger, Andreas, Jiang, Richard, Khosravi, Hassan, Lecue, Freddy, Malgieri, Gianclaudio, Páez, Andrés, Samek, Wojciech, Schneider, Johannes, Speith, Timo, Stumpf, Simone
Publikováno v:
Information Fusion 2024
As systems based on opaque Artificial Intelligence (AI) continue to flourish in diverse real-world applications, understanding these black box models has become paramount. In response, Explainable AI (XAI) has emerged as a field of research with prac
Externí odkaz:
http://arxiv.org/abs/2310.19775
Autor:
Longo, Luca, Brcic, Mario, Cabitza, Federico, Choi, Jaesik, Confalonieri, Roberto, Ser, Javier Del, Guidotti, Riccardo, Hayashi, Yoichi, Herrera, Francisco, Holzinger, Andreas, Jiang, Richard, Khosravi, Hassan, Lecue, Freddy, Malgieri, Gianclaudio, Páez, Andrés, Samek, Wojciech, Schneider, Johannes, Speith, Timo, Stumpf, Simone
Publikováno v:
In Information Fusion June 2024 106
The use of machine learning systems in processing job applications has made the process agile and efficient, but at the same time it has created problems in terms of equality, reliability and transparency. In this paper we explain some of the uses of
Externí odkaz:
http://arxiv.org/abs/2008.00371
Autor:
Páez, Andrés
Publikováno v:
Manuscrito 43(2), 2020
Moores Paradox is a test case for any formal theory of belief. In Knowledge and Belief, Hintikka developed a multimodal logic for statements that express sentences containing the epistemic notions of knowledge and belief. His account purports to offe
Externí odkaz:
http://arxiv.org/abs/2006.11363
Autor:
Páez, Andrés
This paper raises three questions regarding the attribution of beliefs, desires, and intentions to robots. The first one is whether humans in fact engage in robot mindreading. If they do, this raises a second question: does robot mindreading foster t
Externí odkaz:
http://arxiv.org/abs/2003.01238
Autor:
Páez, Andrés
Publikováno v:
Minds and Machines, 29(3), 441-459, 2019
In this paper I argue that the search for explainable models and interpretable decisions in AI must be reformulated in terms of the broader project of offering a pragmatic and naturalistic account of understanding in AI. Intuitively, the purpose of p
Externí odkaz:
http://arxiv.org/abs/2002.09595
Publikováno v:
Review of Philosophy & Psychology; Jun2024, Vol. 15 Issue 2, p585-602, 18p