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Artificial intelligence research strategy of the United States: critical assessment and policy recommendations
The foundations of Artificial Intelligence (AI), a field whose applications are of great use and concern for society, can be traced back to the early years of the second half of the 20th century. Since then, the field has seen increased research output and funding cycles followed by setbacks. The ne...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440374/ https://www.ncbi.nlm.nih.gov/pubmed/37609602 http://dx.doi.org/10.3389/fdata.2023.1206139 |
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author | Gursoy, Furkan Kakadiaris, Ioannis A. |
author_facet | Gursoy, Furkan Kakadiaris, Ioannis A. |
author_sort | Gursoy, Furkan |
collection | PubMed |
description | The foundations of Artificial Intelligence (AI), a field whose applications are of great use and concern for society, can be traced back to the early years of the second half of the 20th century. Since then, the field has seen increased research output and funding cycles followed by setbacks. The new millennium has seen unprecedented interest in AI progress and expectations with significant financial investments from the public and private sectors. However, the continual acceleration of AI capabilities and real-world applications is not guaranteed. Mainly, accountability of AI systems in the context of the interplay between AI and the broader society is essential for adopting AI systems via the trust placed in them. Continual progress in AI research and development (R&D) can help tackle humanity's most significant challenges to improve social good. The authors of this paper suggest that the careful design of forward-looking research policies serves a crucial function in avoiding potential future setbacks in AI research, development, and use. The United States (US) has kept its leading role in R&D, mainly shaping the global trends in the field. Accordingly, this paper presents a critical assessment of the US National AI R&D Strategic Plan and prescribes six recommendations to improve future research strategies in the US and around the globe. |
format | Online Article Text |
id | pubmed-10440374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104403742023-08-22 Artificial intelligence research strategy of the United States: critical assessment and policy recommendations Gursoy, Furkan Kakadiaris, Ioannis A. Front Big Data Big Data The foundations of Artificial Intelligence (AI), a field whose applications are of great use and concern for society, can be traced back to the early years of the second half of the 20th century. Since then, the field has seen increased research output and funding cycles followed by setbacks. The new millennium has seen unprecedented interest in AI progress and expectations with significant financial investments from the public and private sectors. However, the continual acceleration of AI capabilities and real-world applications is not guaranteed. Mainly, accountability of AI systems in the context of the interplay between AI and the broader society is essential for adopting AI systems via the trust placed in them. Continual progress in AI research and development (R&D) can help tackle humanity's most significant challenges to improve social good. The authors of this paper suggest that the careful design of forward-looking research policies serves a crucial function in avoiding potential future setbacks in AI research, development, and use. The United States (US) has kept its leading role in R&D, mainly shaping the global trends in the field. Accordingly, this paper presents a critical assessment of the US National AI R&D Strategic Plan and prescribes six recommendations to improve future research strategies in the US and around the globe. Frontiers Media S.A. 2023-08-07 /pmc/articles/PMC10440374/ /pubmed/37609602 http://dx.doi.org/10.3389/fdata.2023.1206139 Text en Copyright © 2023 Gursoy and Kakadiaris. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Gursoy, Furkan Kakadiaris, Ioannis A. Artificial intelligence research strategy of the United States: critical assessment and policy recommendations |
title | Artificial intelligence research strategy of the United States: critical assessment and policy recommendations |
title_full | Artificial intelligence research strategy of the United States: critical assessment and policy recommendations |
title_fullStr | Artificial intelligence research strategy of the United States: critical assessment and policy recommendations |
title_full_unstemmed | Artificial intelligence research strategy of the United States: critical assessment and policy recommendations |
title_short | Artificial intelligence research strategy of the United States: critical assessment and policy recommendations |
title_sort | artificial intelligence research strategy of the united states: critical assessment and policy recommendations |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440374/ https://www.ncbi.nlm.nih.gov/pubmed/37609602 http://dx.doi.org/10.3389/fdata.2023.1206139 |
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