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Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models

Jentzsch, Sophie F. and Hochgeschwender, Nico (2019) Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models. 1st International Workshop on Explainable Software on ASE2019, 11.-15. Nov 2019, San Diego, CA. (Unpublished)

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Abstract

Explaining reasoning and behaviour of artificial intelligent systems to human users becomes increasingly urgent, especially in the field of machine learning. Many recent contributions approach this issue with post-hoc methods, meaning they consider the final system and its outcomes, while the roots of included artefacts are widely neglected. However, we argue in this position paper that there needs to be a stronger focus on the development process. Without insights into specific design decisions and meta information that accrue during the development an accurate explanation of the resulting model is hardly possible. To remedy this situation we propose to increase process transparency by applying provenance methods, which serves also as a basis for increased explainability.

Item URL in elib:https://elib.dlr.de/132478/
Document Type:Conference or Workshop Item (Speech)
Title:Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Jentzsch, Sophie F.Sophie.Jentzsch (at) dlr.dehttps://orcid.org/0000-0001-6217-8814
Hochgeschwender, NicoNico.Hochgeschwender (at) dlr.dehttps://orcid.org/0000-0003-1306-7880
Date:2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:Provenance, Explainable ML, XAI, Transparency, Development Process
Event Title:1st International Workshop on Explainable Software on ASE2019
Event Location:San Diego, CA
Event Type:Workshop
Event Dates:11.-15. Nov 2019
Organizer:IEEE
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Institut of Simulation and Software Technology
Deposited By: Jentzsch, Sophie Freya
Deposited On:09 Dec 2019 12:13
Last Modified:09 Dec 2019 12:13

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