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Health Impact of AI /

Wu, Zhifeng,

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Health Impact of AI /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Health Impact of AI // Zhifeng Wu.
Author:	Wu, Zhifeng,
Description:	1 electronic resource (168 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-10.
Contained By:	Masters Abstracts International86-10.
Subject:	Computer science. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31844339
ISBN:	9798314812112

Health Impact of AI /
Wu, Zhifeng,

Health Impact of AI /Zhifeng Wu. - 1 electronic resource (168 pages)

Source: Masters Abstracts International, Volume: 86-10.

AI's explosive growth has triggered massive data center expansion with largely unexamined public health consequences. While carbon emissions receive attention, this paper quantifies the substantial air pollution impacts throughout AI's lifecycle-from manufacturing to operation. Our analysis reveals training a Llama-3.1-scale model generates air pollutants equivalent to 10,000+ cross-country road trips. By 2030, U.S. data centers could impose annual health costs exceeding $20 billion-twice that of coal-based steelmaking and comparable to California's vehicle emissions. These burdens disproportionately affect disadvantaged communities, where per-household impacts may be 200 times greater than in less-affected areas. We propose standardized pollution reporting, community-focused impact assessments, and health-informed AI development to advance environmental justice.

English

ISBN: 9798314812112Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Air pollutants

Health Impact of AI /
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100 1 $a Wu, Zhifeng, $e author. $3 3830496
245 1 0 $a Health Impact of AI / $c Zhifeng Wu.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (168 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Masters Abstracts International, Volume: 86-10.
500 $a Advisors: Ren, Shaolei Committee members: Wong, Daniel ; Zhao, Zhijia .
502 $b M.Sc.C.S. $c University of California, Riverside $d 2025.
520 $a AI's explosive growth has triggered massive data center expansion with largely unexamined public health consequences. While carbon emissions receive attention, this paper quantifies the substantial air pollution impacts throughout AI's lifecycle-from manufacturing to operation. Our analysis reveals training a Llama-3.1-scale model generates air pollutants equivalent to 10,000+ cross-country road trips. By 2030, U.S. data centers could impose annual health costs exceeding $20 billion-twice that of coal-based steelmaking and comparable to California's vehicle emissions. These burdens disproportionately affect disadvantaged communities, where per-household impacts may be 200 times greater than in less-affected areas. We propose standardized pollution reporting, community-focused impact assessments, and health-informed AI development to advance environmental justice.
546 $a English
590 $a School code: 0032
650 4 $a Computer science. $3 523869
650 4 $a Environmental justice. $3 528369
653 $a Air pollutants
653 $a AI development
653 $a Carbon emissions
653 $a Health impact
690 $a 0984
690 $a 0800
690 $a 0619
710 2 $a University of California, Riverside. $b Computer Science. $e degree granting institution. $3 3816005
720 1 $a Ren, Shaolei $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-10.
790 $a 0032
791 $a M.Sc.C.S.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31844339