Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements

Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass...

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Detalles Bibliográficos
Autores principales: Bogani, Ronny, Theodorou, Andreas, Arnaboldi, Luca, Wortham, Robert H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582385/
https://www.ncbi.nlm.nih.gov/pubmed/36281314
http://dx.doi.org/10.1007/s43681-022-00221-0
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author Bogani, Ronny
Theodorou, Andreas
Arnaboldi, Luca
Wortham, Robert H.
author_facet Bogani, Ronny
Theodorou, Andreas
Arnaboldi, Luca
Wortham, Robert H.
author_sort Bogani, Ronny
collection PubMed
description Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner.
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spelling pubmed-95823852022-10-20 Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements Bogani, Ronny Theodorou, Andreas Arnaboldi, Luca Wortham, Robert H. AI Ethics Original Research Data and autonomous systems are taking over our lives, from healthcare to smart homes very few aspects of our day to day are not permeated by them. The technological advances enabled by these technologies are limitless. However, with advantages so too come challenges. As these technologies encompass more and more aspects of our lives, we are forgetting the ethical, legal, safety and moral concerns that arise as an outcome of integrating our lives with technology. In this work, we study the lifecycle of artificial intelligence from data gathering to deployment, providing a structured analytical assessment of the potential ethical, safety and legal concerns. The paper then presents the foundations for the first ethical artificial intelligence sustainability statement to guide future development of AI in a safe and sustainable manner. Springer International Publishing 2022-10-20 /pmc/articles/PMC9582385/ /pubmed/36281314 http://dx.doi.org/10.1007/s43681-022-00221-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Bogani, Ronny
Theodorou, Andreas
Arnaboldi, Luca
Wortham, Robert H.
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
title Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
title_full Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
title_fullStr Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
title_full_unstemmed Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
title_short Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
title_sort garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582385/
https://www.ncbi.nlm.nih.gov/pubmed/36281314
http://dx.doi.org/10.1007/s43681-022-00221-0
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