Critical AI Literacy Institute: Overview


The Critical AI Literacy Institute (CALI) will run from Spring 2025 through Fall 2027.

In Spring 2025, 21 CUNY faculty will participate in a series of seminars designed to establish a shared foundation in computational thinking and digital fluency.

In Summer 2025, participants will meet in a three-day Summer Institute to develop frameworks, assignments, and activities to support discipline-based exploration of generative AI that will be integrated into select Fall 2025/Spring 2026 courses. Collaborators from across CUNY, including Computing Integrated Teacher Education (CITE), the Library Information Literacy Advisory Committee (LILAC), Building Bridges of Knowledge (BBK), and GC Digital Initiatives (GCDI) will advise on the development of the institute and literacy frameworks that will be explored and developed by CUNY faculty. Doctoral students teaching across CUNY will be invited to build implement and extend the projects developed by their faculty colleagues.

The TLC, with the assistance of the Center for Advanced Study in Education, will design an evaluation infrastructure to assess the implementation, which will include pre and post surveys of students and qualitative feedback from both faculty and students on the impact of the materials.

In Summer 2026, the TLC will host a second institute with additional faculty to refine these curricular materials and extend coverage to academic disciplines not addressed in Summer 2025. Starting in Fall 2026, the TLC will present and share outcomes from the first phase of the project, and publish materials produced as open educational resources (OER). Revised materials will be used in classes and evaluated again in Fall 2026 and Spring 2027, culminating in the development in Fall 2027 of a collection of white papers designed to help academic programs across CUNY articulate disciplinary frameworks for critical AI literacy in their own curricular contexts.  


Timeline


2024-2025

  • Fall 2024: Release Call for Participation
  • Spring 2025: Selection of first cohort of faculty fellows, recruitment of graduate fellows, preliminary seminar meetings
  • Summer Institute 2025: Develop frameworks, assignments, and activities establishing discipline-based approaches to generative AI

2025-2026

  • Fall 2025: Implement curricula in select courses (Implementation Round 1)
  • Fall-Winter 2025-2026: Reflect, revise, and evaluate outcomes and activities
  • Spring 2026: Selection of second cohort of faculty fellows, implement curricula in select courses
  • Summer Institute 2026: Refine curricular materials; extend coverage to additional disciplines

2026-2027

  • Fall 2026: Implement curricula in select courses (Implementation Round 2)
  • Fall-Winter 2026-2027: Reflect, revise, and evaluate outcomes and activities
  • Spring 2027: Selection of third cohort of faculty fellows. Implement curricula in select courses
  • Summer Institute 2027: Refine curricular materials; extend coverage to additional disciplines
  • Fall-Winter 2027: Implement curricula in select courses (Implementation Round 3); Co-write and publish white papers; share materials as OER.