Literary study
Reading Faulkner in the Age of Thinking Machines
Four visual, audio, and interactive experiments invite students to stay with Faulkner’s language instead of offloading the reading.
Explore projectGallery 03
03Advanced AI Use Cases
Build new media · connect live data · make uncertainty inspectable
A set of interdisciplinary experiments in which AI helps construct the learning environment—not simply generate an answer. Each project asks students to interpret, test, compare, or make.
A faculty lensThe frontier is not more automation. It is designing experiences where computation enlarges the evidence students can encounter and the judgments they must make.
Visual discernment
Anatomy Atelier
Rotate an AI organ mesh, compare it with curated human anatomy, document uncertainty, and export an evidence trail.
Explore project
Live simulation
World Trade Atlas
Live trade data, routes, chokepoints, ports, disruptions, tariff history, and a calculator connect global systems to student shopping.
Explore project
Systems thinking
Lease on Life
A college housing simulator pairs a single-player story with a systems-building mode for exploring affordability and tradeoffs.
Explore project
Writing & sound
Sentence Sound Lab
Students see sentence length as a heat map, hear prose as music, and revise rhythm, pacing, and emphasis by ear.
Explore projectSwipe or use the arrows to move along the clothesline.
Faculty reflection
What becomes possible when I move beyond a chatbot and treat AI as one material among maps, archives, models, sound, and simulation?
Imagine one learning experience that was previously impractical. What human judgment should remain at its center?
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“Automation is easy. Judgment is not.”
Continue thinking
Scholarship behind the practice
Use these readings to test the examples against research, values, and lived classroom experience.
Marc Watkins
Reading in an Age of Thinking Machines
A reflection on using AI-made media to invite deep reading without asking students to offload the text to AI.
Read source ↗metaLAB (at) HarvardAI Pedagogy Project
A collection of educator-designed assignments for critical and creative engagement with AI across disciplines.
Read source ↗Marc WatkinsWhat We Give Up When We Let AI Decide
A distinction between automating logistics and surrendering the human judgment at the heart of teaching.
Read source ↗Document your learning
Take your workshop record with you
Combine all three reflections into one private learning record, then personalize a certificate documenting workshop attendance and participation for annual review.
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AI Aware Teaching
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