Black Boxes and the Role of Modeling in Environmental Policy Making

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http://hdl.handle.net/10138/328444

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Maeda , E , Haapasaari , P , Helle , I , Lehikoinen , A , Voinov , A & Kuikka , S 2021 , ' Black Boxes and the Role of Modeling in Environmental Policy Making ' , Frontiers in Environmental Science , vol. 9 , 629336 . https://doi.org/10.3389/fenvs.2021.629336

Title: Black Boxes and the Role of Modeling in Environmental Policy Making
Author: Maeda, Eduardo; Haapasaari, Päivi; Helle, Inari; Lehikoinen, Annukka; Voinov, Alexey; Kuikka, Sakari
Contributor organization: Department of Geosciences and Geography
Helsinki Institute of Sustainability Science (HELSUS)
TreeD lab - Terrestrial Ecosystem Dynamics
Ecosystems and Environment Research Programme
Environmental and Ecological Statistics Group
Organismal and Evolutionary Biology Research Programme
Social Policy
Fisheries and Environmental Management Group
Biosciences
Date: 2021-03-23
Language: eng
Number of pages: 5
Belongs to series: Frontiers in Environmental Science
ISSN: 2296-665X
DOI: https://doi.org/10.3389/fenvs.2021.629336
URI: http://hdl.handle.net/10138/328444
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
Subject: 1172 Environmental sciences
artificial inteligence
modeling
environmental poicy
decision making
stackeholder engagement
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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