Irresponsible AI: big tech's influence on AI research and associated impacts

Fuente: arXiv
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Autori principali: Hernandez-Garcia, Alex, Volokhova, Alexandra, Williams, Ezekiel, Kabakibo, Dounia Shaaban
Natura: Preprint
Pubblicazione: 2025
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author Hernandez-Garcia, Alex
Volokhova, Alexandra
Williams, Ezekiel
Kabakibo, Dounia Shaaban
author_facet Hernandez-Garcia, Alex
Volokhova, Alexandra
Williams, Ezekiel
Kabakibo, Dounia Shaaban
contents The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing involvement of big tech. This has been accompanied by increasing ethical concerns and intensified societal and environmental impacts. In this article, we review and discuss how these phenomena are deeply entangled. First, we examine the growing and disproportionate influence of big tech in AI research and argue that its drive for scaling and general-purpose systems is fundamentally at odds with the responsible, ethical, and sustainable development of AI. Second, we review key current environmental and societal negative impacts of AI and trace their connections to big tech and its underlying economic incentives. Finally, we argue that while it is important to develop technical and regulatory approaches to these challenges, these alone are insufficient to counter the distortion introduced by big tech's influence. We thus review and propose alternative strategies that build on the responsibility of implicated actors and collective action.
format Preprint
id arxiv_https___arxiv_org_abs_2512_03077
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Irresponsible AI: big tech's influence on AI research and associated impacts
Hernandez-Garcia, Alex
Volokhova, Alexandra
Williams, Ezekiel
Kabakibo, Dounia Shaaban
Computers and Society
Artificial Intelligence
The accelerated development, deployment and adoption of artificial intelligence systems has been fuelled by the increasing involvement of big tech. This has been accompanied by increasing ethical concerns and intensified societal and environmental impacts. In this article, we review and discuss how these phenomena are deeply entangled. First, we examine the growing and disproportionate influence of big tech in AI research and argue that its drive for scaling and general-purpose systems is fundamentally at odds with the responsible, ethical, and sustainable development of AI. Second, we review key current environmental and societal negative impacts of AI and trace their connections to big tech and its underlying economic incentives. Finally, we argue that while it is important to develop technical and regulatory approaches to these challenges, these alone are insufficient to counter the distortion introduced by big tech's influence. We thus review and propose alternative strategies that build on the responsibility of implicated actors and collective action.
title Irresponsible AI: big tech's influence on AI research and associated impacts
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2512.03077