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Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap

Over the years, scientific and legal scholars have called for the implementation of algorithms (e.g., statistical methods) in forensic science to provide an empirical foundation to experts’ subjective conclusions. Despite the proliferation of numerous approaches, the practitioner community has been...

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Detalles Bibliográficos
Autores principales: Swofford, H., Champod, C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933265/
https://www.ncbi.nlm.nih.gov/pubmed/33718855
http://dx.doi.org/10.1016/j.fsisyn.2021.100142
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author Swofford, H.
Champod, C.
author_facet Swofford, H.
Champod, C.
author_sort Swofford, H.
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description Over the years, scientific and legal scholars have called for the implementation of algorithms (e.g., statistical methods) in forensic science to provide an empirical foundation to experts’ subjective conclusions. Despite the proliferation of numerous approaches, the practitioner community has been reluctant to apply them operationally. Reactions have ranged from passive skepticism to outright opposition, often in favor of traditional experience and expertise as a sufficient basis for conclusions. In this paper, we explore why practitioners are generally in opposition to algorithmic interventions and how their concerns might be overcome. We accomplish this by considering issues concerning human—algorithm interactions in both real world domains and laboratory studies as well as issues concerning the litigation of algorithms in the American legal system. Taking into account those issues, we propose a strategy for approaching the implementation of algorithms, and the different ways algorithms can be implemented, in a responsible and practical manner.
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spelling pubmed-79332652021-03-12 Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap Swofford, H. Champod, C. Forensic Sci Int Synerg Policy and Management (in memory of Jay Siegel) Over the years, scientific and legal scholars have called for the implementation of algorithms (e.g., statistical methods) in forensic science to provide an empirical foundation to experts’ subjective conclusions. Despite the proliferation of numerous approaches, the practitioner community has been reluctant to apply them operationally. Reactions have ranged from passive skepticism to outright opposition, often in favor of traditional experience and expertise as a sufficient basis for conclusions. In this paper, we explore why practitioners are generally in opposition to algorithmic interventions and how their concerns might be overcome. We accomplish this by considering issues concerning human—algorithm interactions in both real world domains and laboratory studies as well as issues concerning the litigation of algorithms in the American legal system. Taking into account those issues, we propose a strategy for approaching the implementation of algorithms, and the different ways algorithms can be implemented, in a responsible and practical manner. Elsevier 2021-02-18 /pmc/articles/PMC7933265/ /pubmed/33718855 http://dx.doi.org/10.1016/j.fsisyn.2021.100142 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Policy and Management (in memory of Jay Siegel)
Swofford, H.
Champod, C.
Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap
title Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap
title_full Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap
title_fullStr Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap
title_full_unstemmed Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap
title_short Implementation of algorithms in pattern & impression evidence: A responsible and practical roadmap
title_sort implementation of algorithms in pattern & impression evidence: a responsible and practical roadmap
topic Policy and Management (in memory of Jay Siegel)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933265/
https://www.ncbi.nlm.nih.gov/pubmed/33718855
http://dx.doi.org/10.1016/j.fsisyn.2021.100142
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