Studio Artifacts

   The Studio investigates pedagogical frameworks for strengthening cognitive robustness, cognitive resilience, and independent agency while untraining predictability in GenAI-mediated ecosystems.

   This humanistic work becomes increasingly important as society moves towards systemic dependence on GenAI ecosystems. Thus, we approach the cognitive robustness of future generations as a critical component of educational infrastructure, with implications for civic resilience, institutional trust, and cognitive security.

  1. Inspired in part by Antonio Damasio’s work on emotions and decision-making, Brazilian literature as a critical apparatus, and Calkins’ Primary Object Lessons for grounded experiences, we explore how emotions, discomfort, and creativity can support students’ resilience, awareness, and judgment in GenAI-mediated ecosystems.
  2. This page collects visual models, conceptual precursors, and research-assistant products that document the development of the Cognitive Robustness Research Studio.
  3. If you refer to concepts, visual models, or pedagogical frameworks from this site, remember to cite the relevant Studio artifact or the Studio page.

The Two-Stage Story below introduces one of the studio's central provocations

How and where is your locus of control? Where does it move in hybrid human-AI ecosystems?

  • Or, in other words, in what ways do hybrid agentic ecosystems (Human-AI systems) intersect with agency, cognitive robustness, and locus of control (Rotter 1954/1966)?Four-panel comic about GenAI dependence and loss of agency. A human promises that GenAI tools can do everything; years later, a human took that advice seriously and "passed the ball" of their agency to a GenAI tool that says, “You are lucky to have me think for you.”
  • How to cite this artifact: Eliott, F. (2026, July 8). “Two-Stage Story.” Cognitive Robustness Studio: Conceptual Precursors. https://doi.org/10.17605/OSF.IO/P7D3Q

Conceptual Precursors

  • These conceptual frameworks helped shape the Cognitive Robustness Studio’s pedagogical foundations.
  • The abstracts below were submitted in spring 2026 and later became conceptual precursors to the Studio’s research-based pedagogy.

1. [Abstract #01] From Machado de Assis to Cybersecurity: Not that kind of AI Literacy Course

  • Overview: Explores cognitive challenges arising in human-GenAI ecosystems and uses Brazilian literature as a critical apparatus for developing a research-based pedagogy connecting AI Hygiene, cybersecurity, and humanistic inquiry. 
  • Link to Full Abstract.

2. [Abstract #02] Cooperation vs. Coordination in Cognitive Robustness. 

  • Title. Can Terminological Inconsistency Benefit Power Asymmetry? Cooperation vs. Coordination and a Pedagogical Framework for Cognitive Robustness
  • Overview: Examines how terminological inconsistency, power asymmetries, and misaligned mental models can create an illusion of user cooperation within hybrid human-AI infrastructures.
  • Prior work. This artifact connects the Studio’s pedagogical framework to Eliott’s earlier work on cooperation, coordination, multi-agent systems, and misaligned mental models.
  • Link to Full Abstract.

   Together, these precursors reframed cognitive robustness as both a problem of agency and a problem of legibility: people need ways to recognize how hybrid systems redistribute cognitive work. The Cognitive Derivation Stamps (below) translate part of that problem into a usable visual language.

How should society communicate cognitive derivation?

    A Visual Language for Communicating Cognitive Derivation in Hybrid Human-GenAI Workflows

  Why does higher education still lack a sufficiently expressive visual language for communicating how GenAI systems participate in cognitive workflows?

   Knowing whether GenAI tools were allowed is different from knowing what cognitive work they performed in a cognitive workflow.

  Current disclosure practices often indicate whether GenAI tools were used, but rarely explain what roles those tools played in shaping a workflow. The Cognitive Derivation Stamps provide a visual language for making some of those roles more legible.

   We use “cognitive derivation” to describe how cognitive work takes shape across a human-GenAI workflow: how ideas, judgments, revisions, decisions, and artifacts are generated, transformed, evaluated, stabilized, and claimed.

   Eliott’s comic “Two-Stage Storyillustrates the origins of our discussion. Rather than beginning with the question of which GenAI uses are permitted, we began by asking how human agency shifts when cognitive work is distributed across hybrid human-GenAI workflows (and how to make those shifts more legible).

   Seeking new ways to make hybrid workflows more legible across our institution, the Cognitive Robustness Research Studio’s research assistants collaboratively designed a set of stamps intended to be as visually intuitive as possible. All designs were created by the human team without GenAI assistance.

   After extensive and iterative collaborative design discussions, we are thrilled to release the Cognitive Derivation Stamps.

   The Cognitive Derivation Stamps are organized into three galleries:

  1. Broader Umbrella;
  2. Ghost Gallery;
  3. Coding Gallery.

   Although we initially conceived the stamps as a pedagogical tool, we later saw that our project could extend beyond that original context.

Below, you can:

  1. Explore a few examples of how to use the stamps.
  2. Read the accompanying PDF to learn more about the Cognitive Derivation Stamps.
  3. Download a folder containing one image per stamp, along with its alt text.

   The stamps are licensed under a Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International License.

Cognitive Derivation Stamps in Pedagogical Contexts

1. Using Stamps in Assignments

   In this case, specific Cognitive Derivation Stamps can help to:

  1. Provide a shared vocabulary for communicating GenAI roles across instructors, students, and disciplines;
  2. Help students encounter more consistent GenAI language across courses;
  3. Support institutional conversations about Academic Integrity by making some aspects of cognitive derivation more legible across cases.

   See below for two examples of assignments from different divisions that use the same Cognitive Derivation Stamps.

   The meaning and appropriateness of each stamp should be interpreted in relation to disciplinary practices, assignment goals, and instructor expectations.

   In the examples below, both instructors allow GenAI use only for searching/investigating resources and for obtaining critiques of students’ work. The same stamps can therefore communicate comparable cognitive roles even when the assignments belong to different disciplines. Side-by-side assignment templates for a science discipline and a humanities discipline. Both include fields for the assignment title, instructor name, course number, instructions, and a policy referring students to the allowed GenAI uses below. Each template displays two purple icons: a magnifying glass labeled “Search or Investigation” and a computer monitor labeled “Criticism,” representing permitted uses of GenAI.

2. Using Stamps in Course-Level Policies
  • In this example, the Cognitive Derivation Stamps are used as part of a course-level GenAI policy. The first set of stamps identifies forms of GenAI participation that are permitted in the course.
  • In contrast, a crossed-out “Email: Writing or Summarizing” stamp communicates an explicit exclusion: students are expected to read course-related emails themselves and compose their own messages without GenAI assistance.
  • In this way, the stamps can communicate not only where GenAI may participate in a workflow, but also where cognitive work is expected to remain human.

Emphasizes that students should read and write all course-related emails.Syllabus template showing fields for the instructor, course number, and learning goals. The overall course policy allows three GenAI uses, represented by purple icons: a magnifying glass for “Search or Investigation,” a computer monitor for “Criticism,” and a pencil for “Minor Editing.” A note states that students must read and write their own course emails; an envelope crossed out with a large red X indicates that GenAI may not be used to write or summarize emails.

Cognitive Derivation Stamps in Article Writing

  • In article writing, the Cognitive Derivation Stamps can provide readers with a compact account of where and how GenAI participated in the workflow.
  • Rather than simply indicating that GenAI was used, the stamps can identify particular roles it played—for example, brainstorming, search or investigation, or the use represented by the Ghost Gallery: Images stamp.
  • This makes selected aspects of the article’s cognitive derivation more legible to readers without implying that the stamps provide a complete account of the workflow.Article or pedagogical source template with fields for the author’s name and content. An acknowledgment states that GenAI tools were used in creating the piece, followed by three purple icons specifying their uses: a brain for “Brainstorming,” a magnifying glass for “Search or Investigation,” and a ghost beside a picture frame for “Ghost Gallery: Images.”

The three stamps communicate more about the workflow than a generic statement that “GenAI was used.”

Conclusion 

  • The Stamps offer a visual entry point into cognitive derivation. In many cases, they may be enough to clarify selected roles that GenAI played (or was expected not to play) in a workflow.
  • They are not intended to provide a complete record of cognitive derivation, certify authorship or understanding, or resolve questions of academic integrity. Complex workflows may require multiple stamps, additional context, process documentation, or other forms of evidence.
  • The Stamps’ immediate value is especially clear during this transitional period, as many academic and professional practices move from predominantly human-produced artifacts toward hybrid human-GenAI workflows. They can be used to communicate expectations about where GenAI may participate, and retrospectively, to make aspects of its actual participation more legible.
  • Looking ahead, as GenAI becomes less visible as a separate tool and more embedded as an ambient environment, our practices for communicating cognitive derivation will need to evolve. The Cognitive Derivation Stamps should therefore be understood as an early and intentionally partial visual language for making distributed cognitive work more legible and discussable, and for supporting an infrastructure of trust without pretending to prove it.

Acknowledgments

In preparing this page, Eliott used GenAI tools in this article in these ways: Criticism, Minor editing, and Alt Text.

Three purple GenAI acknowledgment icons. “Criticism” shows a computer monitor displaying a marked-up document; “Minor Editing” shows a pencil following a dashed line; and “Alt Text” shows an image connected by an arrow to a notepad, representing the creation of an image description.

How to cite the stamps: Silva, Jenifer, Edgar Romero, Mansi Singh, Paul Reif, and Fernanda Eliott. 2026. “Stamps: Clarifying GenAI Use in Pedagogy and Communication.” OSF. July 15. doi:10.17605/OSF.IO/2CYWR.

How to cite this page: Eliott, Fernanda. “How should society communicate cognitive derivation? A visual language for communicating cognitive derivation in hybrid human-GenAI workflows.” The Cognitive Robustness Research Studio: Studio Artifacts. Grinnell College. https://cognitivestudio.cs.grinnell.edu/artifacts/

Research Assistant Artifacts 2026

   These artifacts document exercises through which research assistants practiced capacities associated with cognitive robustness, including attention, sensory engagement, interpretive judgment, and independent description.

Description Writing: Imagination, Attention, and the Senses

  • Inspired by the Brazilian writer José de Alencar, a Cognitive Robustness Studio activity invited research assistants to practice descriptive writing as a way to strengthen imagination, attention, and sensory engagement.
  • In response, Edgar Romero wrote a vivid descriptive piece about the ELBICA Lab.

Acknowledgments

   We would like to thank many people and organizations that made the 2026 Pilot possible:

  • Drs. Caleb Elfenbein, Cynthia Hansen, Andrea Tracy, the Noyce Science Office staff, and many others from Grinnell College;
  • Grinnell College’s MAP program;
  • The Elkes Fund for Academic Innovation;
  • NSF’s LSAMP, IINSPIRE.

Four Cognitive Robustness Research Studio students sit around a table in the ELBICA Lab, smiling and talking during a collaborative activity. The table holds books, notebooks, writing materials, snacks, and small colorful objects used in their work. Two computer monitors and office shelves are visible in the background.