№ lp_1_2_32919
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Character count: 2800
File size: 68 KB
A guideline document providing an overarching framework for the reasonable, recommended, and permitted use of generative AI in teaching and assessments at Uppsala University.
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
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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:
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
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
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
Year:
2022
Region / City:
Marietta, GA
Subject:
Police training, Brazilian Jiu Jitsu
Document Type:
Article
Organization:
Marietta Police Department
Author:
Major Jake King, Sergeant Clayton Culpepper
Target Audience:
Law enforcement professionals, trainers
Duration of Applicability:
Ongoing
Approval Date:
Not specified
Date of Changes:
Not specified
Document type:
Mobility agreement
Programme:
Erasmus+
Academic year:
20../20..
Mobility type:
Staff Mobility for Teaching
Receiving institution:
Istanbul Sabahattin Zaim University
Receiving institution Erasmus code:
TR ISTANBU41
Receiving institution country:
Turkey
Receiving institution address:
Halkalı cad. No: 281, Küçükçekmece / İstanbul 343030
Receiving institution contact person:
Prof. Dr. Nasuh USLU, Erasmus Institutional Coordinator
Planned teaching hours:
8
Number of students:
50
Study level:
Bachelor or equivalent first cycle (EQF level 6)
Intended purpose:
Teaching activity
Parties involved:
Teaching staff member, sending institution/enterprise, receiving institution
Year:
2020-2021
Region / City:
Not specified
Subject:
Teacher Training, Primary Education
Document Type:
Guidance Document
Institution:
Not specified
Author:
Not specified
Target Audience:
Trainee Teachers
Period of Validity:
2020-2021
Approval Date:
Not specified
Revision Date:
Not specified
Year:
2026
Region / City:
Alaska
Subject:
Early childhood education, assessment
Document Type:
Instructional guidelines
Organization / Institution:
Alaska Department of Education and Early Development (DEED)
Author:
DEED staff
Target Audience:
Early childhood education programs in Alaska
Period of Validity:
Ongoing
Approval Date:
Not specified
Date of Changes:
Not specified