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  • HOME
  • ABOUT US
    • Mission & Goals
    • Programmatic Performance
    • Our History
    • Partners
    • Advisory Board
  • PROGRAMS
    • Master of Library Science
    • Master of Library Science, School Library Media Specialist
    • MLS/MA Programs
    • Advanced Certificate in Youth Services
    • Advanced Certificate in Archives
  • CURRENT STUDENTS
    • Academic Plan
    • Advisement & Pre-registration
    • A.I. Policy
    • Awards
    • Beta Phi Mu
    • Course Catalog
    • How ​LACUNY Benefits You
    • Internship Course
    • LIS Job Boards
    • Listservs
    • Scholarships
    • Scholastic Standards
    • School Media Handbook
  • PROSPECTIVE STUDENTS
    • Applications
    • Admissions
    • Transfer of Credit
    • Tuition and Fees
    • GSLIS Course Catalog
    • Financial Aid
    • Scholarships
    • International Students Information
  • PEOPLE
    • Faculty
      • Research Faculty
        • Emily Drabinski
        • S.E. Hackney
        • Brandon Jeffries
        • Ping Li
        • James Lowry
        • Nerve Macaspac
        • Kwong Bor Ng
        • Joe Sanchez
        • Nafiz Zaman Shuva
        • Vikki Terrile
        • Johnathan Thayer
        • Shuheng Wu
      • Adjunct Faculty
        • Samantha Alberts
        • Jennifer Brown
        • Regina Carra
        • Caitlin Colban-Waldron
        • Zakiya Collier
        • Michelle Demetres
        • Syreeta Gates
        • Ashley Hawkins
        • Kelly Haydon
        • Jess deCourcy Hinds
        • Kathleen Kasten-Mutkus
        • Ryan King
        • Paige Laino
        • Arlene Laverde
        • Rachel Leff
        • Rowena Li
        • Michael Lorenzini
        • Robin Margolis
        • Rachel Mattson
        • Kim McNeil-Capers
        • James Tasato Mellone
        • Natalie Milbrodt
        • Carisse Mitchell
        • Obden Mondésir
        • Asma Neblett
        • Elizabeth Ott
        • Slava Polishchuk
        • Aleksandr Rozentsvit
        • Emely Rumble
        • Jessica Russo
        • Kari Smith
        • Cynthia Tobar
        • Kyle Triplett
        • Miriam Tuliao
        • Dan Woulfin
        • Yi-Chun Wu
      • Retired
    • Visiting or Affiliated Scholars
    • Staff
    • Student Groups
    • Organization Chart
  • ALUMNI & JOBS
    • Connect to GSLIS LinkedIn
    • GSLIS LinkedIn Job Posting
    • GSLIS Alumni Site
  • More
    • HOME
    • ABOUT US
      • Mission & Goals
      • Programmatic Performance
      • Our History
      • Partners
      • Advisory Board
    • PROGRAMS
      • Master of Library Science
      • Master of Library Science, School Library Media Specialist
      • MLS/MA Programs
      • Advanced Certificate in Youth Services
      • Advanced Certificate in Archives
    • CURRENT STUDENTS
      • Academic Plan
      • Advisement & Pre-registration
      • A.I. Policy
      • Awards
      • Beta Phi Mu
      • Course Catalog
      • How ​LACUNY Benefits You
      • Internship Course
      • LIS Job Boards
      • Listservs
      • Scholarships
      • Scholastic Standards
      • School Media Handbook
    • PROSPECTIVE STUDENTS
      • Applications
      • Admissions
      • Transfer of Credit
      • Tuition and Fees
      • GSLIS Course Catalog
      • Financial Aid
      • Scholarships
      • International Students Information
    • PEOPLE
      • Faculty
        • Research Faculty
          • Emily Drabinski
          • S.E. Hackney
          • Brandon Jeffries
          • Ping Li
          • James Lowry
          • Nerve Macaspac
          • Kwong Bor Ng
          • Joe Sanchez
          • Nafiz Zaman Shuva
          • Vikki Terrile
          • Johnathan Thayer
          • Shuheng Wu
        • Adjunct Faculty
          • Samantha Alberts
          • Jennifer Brown
          • Regina Carra
          • Caitlin Colban-Waldron
          • Zakiya Collier
          • Michelle Demetres
          • Syreeta Gates
          • Ashley Hawkins
          • Kelly Haydon
          • Jess deCourcy Hinds
          • Kathleen Kasten-Mutkus
          • Ryan King
          • Paige Laino
          • Arlene Laverde
          • Rachel Leff
          • Rowena Li
          • Michael Lorenzini
          • Robin Margolis
          • Rachel Mattson
          • Kim McNeil-Capers
          • James Tasato Mellone
          • Natalie Milbrodt
          • Carisse Mitchell
          • Obden Mondésir
          • Asma Neblett
          • Elizabeth Ott
          • Slava Polishchuk
          • Aleksandr Rozentsvit
          • Emely Rumble
          • Jessica Russo
          • Kari Smith
          • Cynthia Tobar
          • Kyle Triplett
          • Miriam Tuliao
          • Dan Woulfin
          • Yi-Chun Wu
        • Retired
      • Visiting or Affiliated Scholars
      • Staff
      • Student Groups
      • Organization Chart
    • ALUMNI & JOBS
      • Connect to GSLIS LinkedIn
      • GSLIS LinkedIn Job Posting
      • GSLIS Alumni Site

CURRENT STUDENTS

Academic Plan

Advisement & Pre-registration

A.I. Policy

Awards

Beta Phi Mu

Course Catalog

How ​LACUNY Benefit You

Internship Course

LIS Job Boards

Listservs

Scholarships

Scholastic Standards

School Media Handbook

Policy on Use of Artificial Intelligence in Teaching and Learning

  1. Definition

Artificial Intelligence (AI) is the “capability of computer systems or algorithms to imitate intelligent human behavior” (Merriam Webster Dictionary). In this policy, “AI” refers to AI tools in general and more specifically to generative AI (AI tools that produce new content) such as ChatGPT, Gemini, and Runway.


  1. Policy Statement

As a set of information technologies, AI is an appropriate object of study for the field of information studies. We should understand its mechanics, uses, and consequences at technical and social levels. AI may therefore be dealt with in the QCSIS curriculum.

The use of AI to replace the intellectual work of professors and students is not allowed in the School of Information Studies.


  1. Implementation

3.1 Faculty

For faculty, this means that AI may not be used to substitute for substantive, individualized feedback on student work. Faculty are expected to read, view, or listen to each student’s work and provide feedback grounded in their own disciplinary knowledge and pedagogical intent. AI tools may only be used when they do not replace or diminish the instructor’s own professional evaluation of the creative, analytical, or conceptual dimensions of student work. For example, in courses that involve digital or multimedia production, this may include using AI-assisted features to analyze or verify technical parameters. Faculty AI usage in this manner should be clearly stated in the applicable course syllabus.

If a faculty member is found to have used AI in violation of this policy:

● For tenured and tenure-track professors: the matter will be referred to the Personnel and Budget Committee, and a report will be submitted to the Dean of the School of Social Sciences.

● For adjunct professors: the matter may be considered when decisions are made about reappointment.

All cases will be reviewed with attention to context and intent, and with the opportunity for remediation or clarification when appropriate.


3.2 Students

For students, this policy means that AI may not be used to generate the substantive intellectual or creative work required for assessment, unless explicitly permitted by the instructor. Professors should clearly state how AI may be used in their classes using the sample syllabus language available in the  Teach@CUNY AI Toolkit

Students are expected to demonstrate their own understanding, analytical reasoning, and creative judgment in all assignments. However, students may use AI tools as aids to learning and production. For example, to improve clarity or organization in writing, or perform technical adjustments in multimedia projects. Such use must be transparent: students should acknowledge how AI tools were used and remain fully responsible for verifying the accuracy, appropriateness, and originality of their submitted work. See the guidance on AI attribution and citation in the Teach@CUNY AI Toolkit

Use of AI may constitute “cheating”. As the Academic Integrity Policy adopted by the CUNY Board in 2011 and amended in 2022, states:

“Cheating is the unauthorized use or attempted use of material, information, notes, study aids, devices, artificial intelligence (AI) systems, or communication during an academic exercise.”

QCSIS professors who detect the inappropriate use of AI will address the issue with the student and have the option to fail the student for that assignment. If the inappropriate use of AI persists, the professor may fail the student for the class. The student may appeal to the school’s Awards, Academic Standing, and Student Affairs (AASSA) Committee, which will review all cases with attention to context and intent, and with the opportunity for remediation or clarification when appropriate.

If the AASSA Committee receives reports of a student’s persistent inappropriate use of AI across a number of classes, the committee may recommend to the Dean of the School of Social Sciences, through the Director or Student Affairs and the Department Chair, the suspension or expulsion of the student, in line with the CUNY Academic Integrity Policy.[1]

[1] The Academic Integrity Policy considers cheating to be “academic dishonesty” and sets out the following consequences: “Penalties for academic dishonesty include academic sanctions, such as failing or otherwise reduced grades, and/or disciplinary sanctions, including suspension or expulsion”.

__________________________

[1] The Academic Integrity Policy considers cheating to be “academic dishonesty” and sets out the following consequences: “Penalties for academic dishonesty include academic sanctions, such as failing or otherwise reduced grades, and/or disciplinary sanctions, including suspension or expulsion”. 

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