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How Could Future AI Help Tackle Global Complex Problems?
How does AI need to evolve in order to better support more effective decision-making in managing the many complex problems we face at every scale, from global climate change, collapsing ecosystems, international conflicts and extremism, through to all the dimensions of public policy, economics, and...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805908/ https://www.ncbi.nlm.nih.gov/pubmed/33501218 http://dx.doi.org/10.3389/frobt.2020.00050 |
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author | Grisogono, Anne-Marie |
author_facet | Grisogono, Anne-Marie |
author_sort | Grisogono, Anne-Marie |
collection | PubMed |
description | How does AI need to evolve in order to better support more effective decision-making in managing the many complex problems we face at every scale, from global climate change, collapsing ecosystems, international conflicts and extremism, through to all the dimensions of public policy, economics, and governance that affect human well-being? Research in complex decision-making at an individual human level (understanding of what constitutes more, and less, effective decision-making behaviors, and in particular the many pathways to failures in dealing with complex problems), informs a discussion about the potential for AI to aid in mitigating those failures and enabling a more robust and adaptive (and therefore more effective) decision-making framework, calling for AI to move well-beyond the current envelope of competencies. |
format | Online Article Text |
id | pubmed-7805908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78059082021-01-25 How Could Future AI Help Tackle Global Complex Problems? Grisogono, Anne-Marie Front Robot AI Robotics and AI How does AI need to evolve in order to better support more effective decision-making in managing the many complex problems we face at every scale, from global climate change, collapsing ecosystems, international conflicts and extremism, through to all the dimensions of public policy, economics, and governance that affect human well-being? Research in complex decision-making at an individual human level (understanding of what constitutes more, and less, effective decision-making behaviors, and in particular the many pathways to failures in dealing with complex problems), informs a discussion about the potential for AI to aid in mitigating those failures and enabling a more robust and adaptive (and therefore more effective) decision-making framework, calling for AI to move well-beyond the current envelope of competencies. Frontiers Media S.A. 2020-04-21 /pmc/articles/PMC7805908/ /pubmed/33501218 http://dx.doi.org/10.3389/frobt.2020.00050 Text en Copyright © 2020 Grisogono. http://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 | Robotics and AI Grisogono, Anne-Marie How Could Future AI Help Tackle Global Complex Problems? |
title | How Could Future AI Help Tackle Global Complex Problems? |
title_full | How Could Future AI Help Tackle Global Complex Problems? |
title_fullStr | How Could Future AI Help Tackle Global Complex Problems? |
title_full_unstemmed | How Could Future AI Help Tackle Global Complex Problems? |
title_short | How Could Future AI Help Tackle Global Complex Problems? |
title_sort | how could future ai help tackle global complex problems? |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805908/ https://www.ncbi.nlm.nih.gov/pubmed/33501218 http://dx.doi.org/10.3389/frobt.2020.00050 |
work_keys_str_mv | AT grisogonoannemarie howcouldfutureaihelptackleglobalcomplexproblems |