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Lack of Awareness of the Environment...
~
Smith, Shaina,
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Lack of Awareness of the Environmental Impacts of Artificial Intelligence /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Lack of Awareness of the Environmental Impacts of Artificial Intelligence // Shaina Smith.
Author:
Smith, Shaina,
Description:
1 electronic resource (215 pages)
Notes:
Source: Masters Abstracts International, Volume: 86-07.
Contained By:
Masters Abstracts International86-07.
Subject:
Water. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31822538
ISBN:
9798302369789
Lack of Awareness of the Environmental Impacts of Artificial Intelligence /
Smith, Shaina,
Lack of Awareness of the Environmental Impacts of Artificial Intelligence /
Shaina Smith. - 1 electronic resource (215 pages)
Source: Masters Abstracts International, Volume: 86-07.
The hope and hype of Artifcial Intelligence algorithms in healthcare has led to substantial increases in the usage of computational resources. While data centres are an integral part of this development process, they generate electronic waste and require electricity to cool billions of litres of water to keep servers from overheating. Electronic waste is often sent to informal electronic waste recycling sites where chemical run-of from improper handling of e-waste is common, contributing to environmental pollution and consequential severe health outcomes. Prior awareness of these impacts was explored using the online platform Qualtrics to survey the staf, faculty, and students at Queen's University. Participants were presented with thirty-eight questions and summary paragraphs of information that outlined topics such as Artifcial Intelligence and cloud storage, Big Data, data centres and electronic waste, and overall awareness of resource consumption and informal electronic waste recycling sites. We observed participants who are faculty members and man-identifying participants have more prior familiarity with the presented terms in comparison to all other demographic groups. Additionally, a majority of woman-identifying participants indicated their perspective on Artifcial Intelligence was negatively impacted by the survey and that the new awareness would impact their usage of technology and computational resources moving forward. Future similar surveys could be conducted on other populations to identify if there is an observed diference in awareness compared to the survey responses of participants at Queen's University to understand awareness gaps better and inform future education and awareness campaigns. We found there is a lack of awareness of the environmental impacts of Artifcial Intelligence within the Queen's University community.
English
ISBN: 9798302369789Subjects--Topical Terms:
516619
Water.
Lack of Awareness of the Environmental Impacts of Artificial Intelligence /
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The hope and hype of Artifcial Intelligence algorithms in healthcare has led to substantial increases in the usage of computational resources. While data centres are an integral part of this development process, they generate electronic waste and require electricity to cool billions of litres of water to keep servers from overheating. Electronic waste is often sent to informal electronic waste recycling sites where chemical run-of from improper handling of e-waste is common, contributing to environmental pollution and consequential severe health outcomes. Prior awareness of these impacts was explored using the online platform Qualtrics to survey the staf, faculty, and students at Queen's University. Participants were presented with thirty-eight questions and summary paragraphs of information that outlined topics such as Artifcial Intelligence and cloud storage, Big Data, data centres and electronic waste, and overall awareness of resource consumption and informal electronic waste recycling sites. We observed participants who are faculty members and man-identifying participants have more prior familiarity with the presented terms in comparison to all other demographic groups. Additionally, a majority of woman-identifying participants indicated their perspective on Artifcial Intelligence was negatively impacted by the survey and that the new awareness would impact their usage of technology and computational resources moving forward. Future similar surveys could be conducted on other populations to identify if there is an observed diference in awareness compared to the survey responses of participants at Queen's University to understand awareness gaps better and inform future education and awareness campaigns. We found there is a lack of awareness of the environmental impacts of Artifcial Intelligence within the Queen's University community.
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https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31822538
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