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The AI trilemma: Saving the planet without ruining our jobs

Digitalization and artificial intelligence increasingly affect the world of work. Rising risk of massive job losses have sparked technological fears. Limited income and productivity gains concentrated among a few tech companies are fueling inequalities. In addition, the increasing ecological footpri...

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Autor principal: Ernst, Ekkehard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626962/
https://www.ncbi.nlm.nih.gov/pubmed/36337142
http://dx.doi.org/10.3389/frai.2022.886561
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author Ernst, Ekkehard
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description Digitalization and artificial intelligence increasingly affect the world of work. Rising risk of massive job losses have sparked technological fears. Limited income and productivity gains concentrated among a few tech companies are fueling inequalities. In addition, the increasing ecological footprint of digital technologies has become the focus of much discussion. This creates a trilemma of rising inequality, low productivity growth and high ecological costs brought by technological progress. How can this trilemma be resolved? Which digital applications should be promoted specifically? And what should policymakers do to address this trilemma? This contribution shows that policymakers should create suitable conditions to fully exploit the potential in the area of network applications (transport, information exchange, supply, provisioning) in order to reap maximum societal benefits that can be widely shared. This requires shifting incentives away from current uses toward those that can, at least partially, address the trilemma. The contribution analyses the scope and limits of current policy instruments in this regard and discusses alternative approaches that are more aligned with the properties of the emerging technological paradigm underlying the digital economy. In particular, it discusses the possibility of institutional innovations required to address the socio-economic challenges resulting from the technological innovations brought about by artificial intelligence.
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spelling pubmed-96269622022-11-03 The AI trilemma: Saving the planet without ruining our jobs Ernst, Ekkehard Front Artif Intell Artificial Intelligence Digitalization and artificial intelligence increasingly affect the world of work. Rising risk of massive job losses have sparked technological fears. Limited income and productivity gains concentrated among a few tech companies are fueling inequalities. In addition, the increasing ecological footprint of digital technologies has become the focus of much discussion. This creates a trilemma of rising inequality, low productivity growth and high ecological costs brought by technological progress. How can this trilemma be resolved? Which digital applications should be promoted specifically? And what should policymakers do to address this trilemma? This contribution shows that policymakers should create suitable conditions to fully exploit the potential in the area of network applications (transport, information exchange, supply, provisioning) in order to reap maximum societal benefits that can be widely shared. This requires shifting incentives away from current uses toward those that can, at least partially, address the trilemma. The contribution analyses the scope and limits of current policy instruments in this regard and discusses alternative approaches that are more aligned with the properties of the emerging technological paradigm underlying the digital economy. In particular, it discusses the possibility of institutional innovations required to address the socio-economic challenges resulting from the technological innovations brought about by artificial intelligence. Frontiers Media S.A. 2022-10-19 /pmc/articles/PMC9626962/ /pubmed/36337142 http://dx.doi.org/10.3389/frai.2022.886561 Text en Copyright © 2022 Ernst. 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 Artificial Intelligence
Ernst, Ekkehard
The AI trilemma: Saving the planet without ruining our jobs
title The AI trilemma: Saving the planet without ruining our jobs
title_full The AI trilemma: Saving the planet without ruining our jobs
title_fullStr The AI trilemma: Saving the planet without ruining our jobs
title_full_unstemmed The AI trilemma: Saving the planet without ruining our jobs
title_short The AI trilemma: Saving the planet without ruining our jobs
title_sort ai trilemma: saving the planet without ruining our jobs
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626962/
https://www.ncbi.nlm.nih.gov/pubmed/36337142
http://dx.doi.org/10.3389/frai.2022.886561
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