Banner image design: Alyssa Monte

EDUCATORS

Even a brief encounter with chatbots from the stance of researchers, not users, can empower students to see for themselves that commercial products like Microsoft’s Copilot or OpenAI’s ChatGPT are neither sci-fi androids nor the reliable time savers touted in ads. Teachers and student researchers can probe AI models to study diverse behaviors: not only evidence of “baked in” stereotypes, errors, inconsistencies, and limitations, but also potential strengths.

Overseeing student research is not as difficult as instructors might imagine. The simple chatbot interfaces that make gen AI tools so easy to use make them equally easy to probe and analyze. The main difference between “prompting” a chatbot and “probing” it is the subject position of the human activator: are they engaging the system as a relatively passive user or a critically engaged researcher?

Not every teacher who is keen to cultivate critical AI literacies must do so by leading student probing projects. The flexible tools offered on this site form part of a broader critical AI discourse, and readers will find that the content on Design Justice Labs is full of jumping-off points for fruitful discussions in the classroom and beyond. We also recommend taking a look at our living document and handy student guide for more content to use for your own teaching and critical AI literacies.

Resources for Your Own Teaching

Image: William Henry Fox Talbot, ”A Scene in a Library,” 1844, Gilman Collection, Metropolitan Museum of Art.

TROUBLESHOOTING AI

Academic Integrity

Assistant Dean for Programs and Assessment Sharon Stoerger (Rutgers School of Communication and Information) talks through assignment and assessment design strategies in Critical AI’s October '25 workshop.

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Image: Vincent Van Gogh, ”L’Arlésienne,” c. 1888, Metropolitan Museum of Art.

TROUBLESHOOTING AI

Teaching and Gen AI

In a Critical AI October ’25 workshop, Initiative Chair Lauren M.E. Goodlad (Rutgers) on how to navigate gen AI with students.

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Image: Vanessa Bell, Black and white negative of Duncan Grant and Virginia Woolf with Garth the dog in Firle Park, Sussex, 1911-12, © Tate, London

GEN AI IN CREATIVE WRITING

Creative writing professor Aimee LaBrie (Rutgers) reprises her comments on the "pain points" of gen AI AI in the classroom from a faculty panel at Critical AI’s August '25 workshop. She offers a variety of constructive strategies, assignments, and in-class techniques.

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Image: Leonid Pasternak ”The Passion of Creation,” c. 1892

SPEAKING FROM THE HEART

On AI and the Writing Classroom

Donald Dow (Rutgers) reprises his comments on AI and writing instruction from a faculty panel at Critical AI’s August '25 “Writing Education Through Design-Oriented AI” workshop.

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A collage that merges circuit board patterns with textile motifs in a grid-like background of alternating black, grey, and white. Two hand-drawn arms are on each side of the image, positioned as if gently pulling on thin, white strings that cross the image diagonally. The hands appear soft and somewhat translucent, contrasting with the rigid lines of the circuit board patterns behind them. The strings are woven through both the hands and the background, symbolising the connection between traditional weaving and modern technology. The overall colour palette features muted earth tones, including browns, beiges, and grays, creating a sense of both history and continuity between the natural and technological worlds..

Katie Conrad (Kansas; AI & Digital Literacy) created these slides in preparation for F25 to help teachers call attention to how "AI" is visually represented in the media. This is a great teaching exercise that can work at almost any level, from middle school kids to presentations for colleagues.

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Matthew Stone (Rutgers) explains generative AI as a powerful tool whose strengths are difficult to isolate from its weaknesses.

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Daniel Estrada (NJIT) provides guidance on teaching students to audit AI.

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Teresa Ramoni (Rutgers) provides guidance on how to help students think critically about AI, consider the stakes of relying on biased technologies, learn more about how AI works, and think about how to conduct meaningful research probes of their own.

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Image: Warren Leight @warrenleightTV tweet, June 1 2023

TEACHING DESIGN JUSTICE

Fostering Critical AI Literacies in the Classroom

Teresa Ramoni (Rutgers) compiled these probing examples to provide instructors with guided activities for discussing AI bias and limitation in the classroom. Complete with step-by-step instructions and discussion questions, these examples make for a great activity for high school and college students.

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Image: Scala RU “Italian Conversation through Cinema” course probing exercise(slide 28)

TEACHING DESIGN JUSTICE

Critical AI Literacies in Language Classrooms

Carmela Scala (Rutgers) and Chloë Kitzinger (Columbia) created this resource for instructors who are curious about "AI" tools (and want to tap into students' curiosity about them) but reserve judgement about the scale of their impact on language learning.

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Sample Syllabi

Lauren M.E. Goodlad (Rutgers; Critical AI)

Goodlad’s syllabus is updated every semester so as to keep some content (such as podcasts and journalism) recent and up-to-date. The course incorporates several learning goals specific to critical AI literacies.This semester, while co-teaching with Professor Sara Perryman in the Writing Program, the syllabus cuts back some readings (substituting serial television episodes that require less discussion) to devote more space to a “flipped” classroom wherein students work on final projects in the company of profs and fellow students.

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