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- Publisher Website: 10.3389/fenvs.2021.629336
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Article: Black Boxes and the Role of Modeling in Environmental Policy Making
Title | Black Boxes and the Role of Modeling in Environmental Policy Making |
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Authors | |
Keywords | artificial inteligence decision making environmental poicy modeling stackeholder engagement |
Issue Date | 2021 |
Citation | Frontiers in Environmental Science, 2021, v. 9, article no. 629336 How to Cite? |
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 |
Persistent Identifier | http://hdl.handle.net/10722/309282 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Maeda, Eduardo Eiji | - |
dc.contributor.author | Haapasaari, Päivi | - |
dc.contributor.author | Helle, Inari | - |
dc.contributor.author | Lehikoinen, Annukka | - |
dc.contributor.author | Voinov, Alexey | - |
dc.contributor.author | Kuikka, Sakari | - |
dc.date.accessioned | 2021-12-15T03:59:54Z | - |
dc.date.available | 2021-12-15T03:59:54Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Frontiers in Environmental Science, 2021, v. 9, article no. 629336 | - |
dc.identifier.uri | http://hdl.handle.net/10722/309282 | - |
dc.description.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 | - |
dc.language | eng | - |
dc.relation.ispartof | Frontiers in Environmental Science | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | artificial inteligence | - |
dc.subject | decision making | - |
dc.subject | environmental poicy | - |
dc.subject | modeling | - |
dc.subject | stackeholder engagement | - |
dc.title | Black Boxes and the Role of Modeling in Environmental Policy Making | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3389/fenvs.2021.629336 | - |
dc.identifier.scopus | eid_2-s2.0-85103850362 | - |
dc.identifier.volume | 9 | - |
dc.identifier.spage | article no. 629336 | - |
dc.identifier.epage | article no. 629336 | - |
dc.identifier.eissn | 2296-665X | - |
dc.identifier.isi | WOS:000636991700001 | - |