Black Boxes and the Role of Modeling in Environmental Policy Making

Maeda, EE; Haapasaari, P; Helle, I; Lehikoinen, A; Voinov, A; Kuikka, S

Black Boxes and the Role of Modeling in Environmental Policy Making

Maeda, EE Haapasaari, P Helle, I Lehikoinen, A Voinov, A

Kuikka, S

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Publisher:: FRONTIERS MEDIA SA
Publication Type:: Journal Article
Citation:: Frontiers in Environmental Science, 2021, 9
Issue Date:: 2021-03-23

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Field	Value	Language
dc.contributor.author	Maeda, EE
dc.contributor.author	Haapasaari, P
dc.contributor.author	Helle, I
dc.contributor.author	Lehikoinen, A
dc.contributor.author	Voinov, A https://orcid.org/0000-0002-2985-4574
dc.contributor.author	Kuikka, S
dc.date.accessioned	2021-05-05T12:24:42Z
dc.date.available	2021-05-05T12:24:42Z
dc.date.issued	2021-03-23
dc.identifier.citation	Frontiers in Environmental Science, 2021, 9
dc.identifier.issn	2296-665X
dc.identifier.issn	2296-665X
dc.identifier.uri	http://hdl.handle.net/10453/148731
dc.description.abstract	<jats:p>Modeling is essential for modern science, and science-based policies are directly affected by the reliability of model outputs. Artificial intelligence has improved the accuracy and capability of model simulations, but often at the expense of a rational understanding of the systems involved. The lack of transparency in black box models, artificial intelligence based ones among them, can potentially affect the trust in science driven policy making. Here, we suggest that a broader discussion is needed to address the implications of black box approaches on the reliability of scientific advice used for policy making. We argue that participatory methods can bridge the gap between increasingly complex scientific methods and the people affected by their interpretations</jats:p>
dc.language	English
dc.publisher	FRONTIERS MEDIA SA
dc.relation.ispartof	Frontiers in Environmental Science
dc.relation.isbasedon	10.3389/fenvs.2021.629336
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0502 Environmental Science and Management
dc.title	Black Boxes and the Role of Modeling in Environmental Policy Making
dc.type	Journal Article
utslib.citation.volume	9
utslib.for	0502 Environmental Science and Management
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
dc.date.updated	2021-05-05T12:24:40Z
pubs.publication-status	Published
pubs.volume	9

Abstract:

Modeling is essential for modern science, and science-based policies are directly affected by the reliability of model outputs. Artificial intelligence has improved the accuracy and capability of model simulations, but often at the expense of a rational understanding of the systems involved. The lack of transparency in black box models, artificial intelligence based ones among them, can potentially affect the trust in science driven policy making. Here, we suggest that a broader discussion is needed to address the implications of black box approaches on the reliability of scientific advice used for policy making. We argue that participatory methods can bridge the gap between increasingly complex scientific methods and the people affected by their interpretations

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http://hdl.handle.net/10453/148731