№ lp_1_2_40837
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Character count: 74457
File size: 204 KB
Analytical source examining the environmental, social, and economic implications of generative artificial intelligence growth with emphasis on energy use, infrastructure expansion, and the need for sustainability-oriented governance frameworks.
Authors:
Noman Bashir; Priya Donti; James Cuff; Sydney Sroka; Marija Ilic; Vivienne Sze; Christina Delimitrou; Elsa Olivetti
Language:
English
Thematic area:
Climate change; sustainability; artificial intelligence
Subject:
Environmental and social impacts of generative artificial intelligence
Type of document:
Analytical report
Focus:
Energy demand; carbon footprint; data centers; resource use
Key concepts:
Generative AI; computing efficiency; benefit–cost analysis; regulation; stakeholders
Geographic scope:
Global
Timeframe discussed:
2010–2026
Institutional context:
Academic and policy-oriented research
Audience:
Researchers; policymakers; industry stakeholders; civil society
Price: 8 / 10 USD
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2024
Region / city:
Northwestern University, USA
Theme:
Library technology, Artificial Intelligence, Digital Collections
Document Type:
Research paper
Organization / Institution:
Northwestern University Libraries
Author:
David Schober, Brendan Quinn, Carolyn Caizzi
Target Audience:
Scholars, librarians, researchers, developers
Period of validity:
Summer 2024
Approval date:
May 2024
Date of changes:
Not specified
Year:
2024
Region / City:
Calvert County
Theme:
Generative AI, Policy, Data Security
Document Type:
Policy
Organization:
Calvert County Government
Author:
County Administrator
Target Audience:
All Calvert County Government Employees
Period of validity:
Indefinite
Approval Date:
02/24/2024
Date of Revisions:
As needed
Note:
Year
Theme:
Generative AI in Education
Document Type:
Cookbook
Organization / Institution:
University of Florida (UFIT)
Authors:
Chris Sharp, Leslie Mojeiko
Target Audience:
Educators, Faculty, Staff, Students
Note:
Year
Topic:
Use of generative AI in education
Document Type:
Policy/Guidelines
Institution:
Saint Louis University
Target Audience:
Students
Year:
2025
Region / City:
Bangor
Subject:
Academic Integrity, Artificial Intelligence, Assessment
Document Type:
Guidance Document
Organization / Institution:
Bangor University
Author:
Bangor University
Target Audience:
University Faculty, Students
Period of Validity:
Effective from 1st September 2025
Approval Date:
2025
Review Date:
January 2026
Review Frequency:
Annual
Year:
2023
Region / City:
Victoria
Topic:
Generative AI in public sector
Document Type:
Guidance
Agency / Institution:
Office of the Victorian Information Commissioner (OVIC)
Author:
Office of the Victorian Information Commissioner
Target Audience:
Victorian public sector organisations
Effective Period:
Ongoing
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2024
Region / city:
Uppsala
Topic:
Generative AI in Education
Document type:
Guideline
Institution:
Uppsala University
Author:
Vice-Chancellor
Target audience:
Teaching staff, students, including doctoral students
Period of validity:
Ongoing
Approval date:
26 November 2024
Date of changes:
N/A
Note:
Context
Year:
2026
Region / City:
Global
Topic:
Artificial Intelligence, Company Policies
Document Type:
Guide
Organization:
Your Company
Author:
Your Company
Target Audience:
Employees of Your Company
Effective Period:
Ongoing
Approval Date:
2026-02-07
Modification Date:
Not specified
Note:
Contextual Description
Year:
2023
Region / City:
Global
Subject:
Generative AI, IT Policy, Corporate Guidelines
Document Type:
Policy
Organization:
Company Name
Author:
Not specified
Target Audience:
Company staff, contractors, network users
Effective Period:
Ongoing
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2023
Region / City:
United States
Subject:
Generative AI, entertainment industry, performer labor
Document Type:
Article
Organization / Institution:
Not specified
Author:
Sarah Thomas
Target Audience:
Entertainment industry professionals, academics, AI researchers
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Note:
Year
Date:
July 20, 2023
Full Project Title:
The Lived Experience of Generative Artificial Intelligence in Assessment in Higher Education
Reference Number:
HAE-23-057
Principal Researcher:
Professor Helen Partridge
Associate Researchers:
Professor Phillip Dawson, Associate Professor Kelli Nicola-Richmond
Participants:
Deakin University undergraduate and postgraduate students aged 18 and over
Methods:
Interview (online or via phone, 45 minutes–1 hour, recorded and transcribed)
Confidentiality:
Responses de-identified; researchers will not know participant identities
Funding:
Internal Deakin University research funds
Data Storage:
Password-protected computers of Deakin University, stored for five years
Withdrawal Policy:
Participants may withdraw at any time before data analysis begins
Compensation:
$30 gift voucher for interview participants
Ethics Oversight:
Human Research Ethics Office, Deakin University
Year:
2023
Region / City:
Vancouver, Burnaby, British Columbia
Topic:
Educational Technology, Accessibility
Document Type:
Transcript
Institution:
British Columbia Institute of Technology (BCIT)
Author:
Ian Linkletter
Target Audience:
Educators, Technologists, Accessibility Advocates
Period of Use:
November 2023
Date of Approval:
November 10, 2023
Date of Changes:
Not specified
Year:
2023
Region / City:
Global
Topic:
Artificial Intelligence, Policy, Ethics, Compliance
Document Type:
Policy
Organization:
Bank Name
Author:
Bank Name
Target Audience:
Bank employees, officers, board members, contractors
Effective Period:
Not specified
Approval Date:
Not specified
Amendment Date:
Not specified
Year:
2025
Region / City:
El Paso
Theme:
Collaborative Learning, Artificial Intelligence
Document Type:
Syllabus
Institution:
University of Texas at El Paso
Department:
College of Education, Department of Teacher Education
Instructor:
Dr. Ivan Gris
Target Audience:
Students enrolled in the course
Period of Validity:
Fall 2025
Approval Date:
Not specified
Date of Amendments:
Not specified
Note:
Year
Keywords:
COVID-19, OECD, POEM
Year:
1992
Region / City:
Ghana
Topic:
Criminal Law
Document Type:
Legal Analysis
Author:
Unknown
Target Audience:
Legal Professionals
Period of Validity:
Indefinite
Date of Approval:
1992
Date of Amendments:
None
Year:
2018
Region / City:
CERN
Topic:
Particle accelerator performance, LHC upgrades
Document type:
Technical report
Organization / Institution:
CERN
Authors:
Heiko Damerau, Brennan Goddard, Klaus Hanke, Malika Meddahi, Giovanni Rumolo, Elena Shaposhnikova, Rogelio Tomás Garcia
Target audience:
LIU project team members, accelerator and technology departments, HSE and HL-LHC leaders
Effective period:
2018-2023
Approval date:
2018-06-10
Revision history:
1.0, 2018-06-10
Changes history:
First version released
Year:
2023
Region / city:
Western Hemisphere
Theme:
Legal implications of climate change
Document type:
Meeting summary
Organization / institution:
Organization of American States (OAS)
Author:
Permanent Council of the OAS
Target audience:
OAS member states and the general public
Period of validity:
N/A
Approval date:
10 May 2023
Date of changes:
N/A
Year:
2026
Date:
January 16, 2026
Type of document:
Policy memorandum
Issuing organization:
Southern Education Foundation
Recipients:
U.S. Congress; U.S. Department of the Treasury; Governors and interested parties
Geographic scope:
United States
Policy area:
Education policy; civil rights; taxation
Subject:
Federal school voucher program; tax credits; school privatization
Related legislation:
One Big Beautiful Bill Act (P.L. 119-21)
Time period covered:
1940–2026
Target audience:
Policymakers and government officials
Education level:
K–12
Funding mechanism:
Federal tax credits to scholarship granting organizations
Income eligibility threshold:
Up to 300% of area gross median income
Source type:
Advocacy and research-based policy analysis