Facchini, Alessandro and Termine, Alberto (2021) Towards a Taxonomy of Pragmatic Opacity. [Preprint]
This is the latest version of this item.
|
Text
Taxonomy of Pragmatic Opacity.pdf Download (150kB) | Preview |
Abstract
The research program of eXplainable AI (XAI) has been developed with the aim of providing tools and methods for reducing opacity and making AI systems more humanly understandable. Unfortunately, the majority of XAI scholars actually classify a system as more or less opaque by confronting it with traditional rules-based systems, which are usually assumed to be the prototype of transparent systems. In doing so, the concept of opacity remains unexplained. To overcome this issue, we propose to view opacity as a pragmatic concept. Based on this, we then explicit the distinction between structural opacity, link opacity and informational opacity, hence providing the groundwork for a conceptual taxonomy for XAI scholars and their practice
Export/Citation: | EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL |
Social Networking: |
Item Type: | Preprint | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Creators: |
|
|||||||||
Keywords: | Opacity, Explainable AI, Machine Learning, Scientific Understanding | |||||||||
Subjects: | General Issues > Data General Issues > Computer Simulation General Issues > Models and Idealization General Issues > Technology General Issues > Values In Science |
|||||||||
Depositing User: | Mr. Alberto Termine | |||||||||
Date Deposited: | 31 Oct 2021 23:39 | |||||||||
Last Modified: | 31 Oct 2021 23:39 | |||||||||
Item ID: | 19766 | |||||||||
Subjects: | General Issues > Data General Issues > Computer Simulation General Issues > Models and Idealization General Issues > Technology General Issues > Values In Science |
|||||||||
Date: | July 2021 | |||||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/19766 |
Available Versions of this Item
Monthly Views for the past 3 years
Monthly Downloads for the past 3 years
Plum Analytics
Actions (login required)
View Item |