Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Pietro Baroni"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
The pursuit of trust in and fairness of AI systems in order to enable human-centric goals has been gathering pace of late, often supported by the use of explanations for the outputs of these systems. Several properties of explanations have been highl
Externí odkaz:
https://doaj.org/article/1a7ec5522f2d47c7be0b962be72649bb
Publikováno v:
Argument & Computation, Vol 11, Iss 1-2, Pp 1-14 (2020)
Externí odkaz:
https://doaj.org/article/e102d71e734b4bb2b3fc5dfe63bc75f2
Autor:
Pietro Baroni, Bart Verheij
Publikováno v:
Argument & Computation, Vol 13, Iss 1, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/6c7e99a7f9f547f6ba91fb9d5598ea82
Autor:
Pietro Baroni, Bart Verheij
Publikováno v:
Argument & Computation, Vol 10, Iss 3, Pp 231-231 (2020)
Externí odkaz:
https://doaj.org/article/293c400d71f44da8ac3b7581319a7c50
Autor:
Pietro Baroni, Bart Verheij
Publikováno v:
Argument & Computation, Vol 10, Iss 2, Pp 105-105 (2019)
Externí odkaz:
https://doaj.org/article/8db108d4f7ed49d3a345228977a6d223
Autor:
Pietro Baroni, Bart Verheij
Publikováno v:
Argument & Computation, Vol 7, Iss 1, Pp 1-2 (2016)
Externí odkaz:
https://doaj.org/article/6f6bccbc652a448cafd27df7f3266ab4
Publikováno v:
Journal of Logic and Computation. 33:189-191
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031188428
A user receiving an explanation for outcomes produced by an artificially intelligent system expects that it satisfies the key property of descriptive accuracy (DA), i.e. that the explanation contents are in correspondence with the internal working of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8880ee2cb253f7eaeff33535a508bf5
https://doi.org/10.1007/978-3-031-18843-5_19
https://doi.org/10.1007/978-3-031-18843-5_19
Publikováno v:
19th International Conference on Principles of Knowledge Representation and Reasoning (KR 2022)
Causal models are playing an increasingly important role in machine learning, particularly in the realm of explainable AI. We introduce a conceptualisation for generating argumentation frameworks (AFs) from causal models for the purpose of forging ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30f8adafeec694438e7af49edeac5eba
https://hdl.handle.net/11379/565801
https://hdl.handle.net/11379/565801