Philosophy of science at sea: Clarifying the interpretability of machine learning

Beisbart, Claus; Räz, Tim (2022). Philosophy of science at sea: Clarifying the interpretability of machine learning. Philosophy Compass, 17(6) John Wiley & Sons Ltd 10.1111/phc3.12830

[img]
Preview
Text
Philosophy_Compass_-_2022_-_Beisbart_-_Philosophy_of_science_at_sea_Clarifying_the_interpretability_of_machine_learning.pdf - Published Version
Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND).

Download (290kB) | Preview

Item Type:

Journal Article (Original Article)

Division/Institute:

06 Faculty of Humanities > Department of Art and Cultural Studies > Institute of Philosophy

UniBE Contributor:

Beisbart, Claus, Räz, Tim

Subjects:

100 Philosophy
600 Technology > 620 Engineering

ISSN:

1747-9991

Publisher:

John Wiley & Sons Ltd

Funders:

[42] Schweizerischer Nationalfonds

Projects:

Projects 197504 not found.

Language:

English

Submitter:

Tim Räz

Date Deposited:

05 Oct 2022 15:02

Last Modified:

05 Dec 2022 16:25

Publisher DOI:

10.1111/phc3.12830

BORIS DOI:

10.48350/173508

URI:

https://boris.unibe.ch/id/eprint/173508

Actions (login required)

Edit item Edit item
Provide Feedback