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EEAI Lessons
Our Exploring Equity in AI (EEAI) Fellowship empowers students and educators to become critical evaluators of Artificial Intelligence (AI). This final showcase highlights the work of our EEAI Fellows who are crafting and implementing AI ethics and equity lessons in their classrooms.
Teacher lesson plans and policy proposals feature:
Critical AI ethics and equity lessons
Proposals outlining opportunities to shape future approaches to AI in education
On June 6, 2026, in collaboration with the American Museum of Natural History, we celebrated Expedition AI: DISCOVER, RECLAIM, REIMAGINE. Expedition AI is our EEAI culminating event where we shared these lesson plans and policy proposal posters with the public.
We have more EEAI teacher lessons and policy proposals to share. Return to the site often—we will continue to add to our Critical AI collection of resources.
EEAI Lessons
EEAI Lessons
Looking for AI lessons and activites? Check out the lesson posters and additional classroom resources from the Expedition AI event below from EEAI fellows.
Looking for AI lessons and activites? Check out the lesson posters and additional classroom resources from the Expedition AI event below from EEAI fellows.
This is NOT a "Watered-Down" AI Lesson
Teacher: Aaron Lober
Grade: 6
We evaluated the impact and implications of AI usage in terms of water expenditure for data center cooling.
The Watersheds of AI (Professional Development For Parents Slides)
A Global Ramadan: Teaching AI About Our World
Teacher: Alan Nikovic
Grades: 3-5
The primary goal of this lesson was to help students explore diverse global traditions and build a more inclusive digital future.
AI Detectives: Joy, Justice & the Algorithm
Teacher: Alana Robinson
Grades: 3-8
This multi-lesson unit guided neurodiverse learners, students with disabilities, and English language learners to understand what AI is, how it learns from human-provided data, and why that matters for equity.
Digital Intentionality: Audit My Screen Time (Website Lesson created by Alana Robinson)
AI DETECTIVES: Joy, Justice & The Algorithm (Lesson Plan Slides)
The Amazing Generation: Your Guide to Fun and Freedom in a Screen-Filled World By Jonathan Haidt & Catherine Price (Digital Intentionality Book Resource)
What is AI? Using Critical AI Literacy to Build a Fair Recycling Chatbot
Teacher: Alberto Ng
Grades: 3-5
Students identified examples of AI, explained how machines learn from datasets, and built a recycling chatbot dataset using NYC waste-sorting rules.
Critical AI Literacy (Infographic)
Testing Chatbot Reliability Challenge (Worksheet)
The Overconfident Chatbot (Infographic)
Trustworthy vs Overconfident Chatbot Comparison (Worksheet)
How AI Learns to Guess
Teacher: Bettie Mushatt-Parker
Grade: 4
In alignment with an English-Language Arts unit on preferences, students built a foundational understanding of how AI learned through perspectives influenced by preferences.
Impacts of Bias In AI
Teacher: Brandie Hayes
Grade: 5
This lesson is the first in a series designed to teach students about real-world examples of bias in AI and provide them with a hands-on opportunity to investigate whether they could identify bias themselves.
Images from Expedition AI at AMNH on June 6, 2026
Data Collection and Extraction
Teacher: Christine Huggins-Decker
Grades: 4-5
Following this lesson, students would be able to visualize a simple data set in order to highlight relationships and persuade an audience to build a critical lens in the collection, usage, analysis, interpretation, and reporting of data.
Protecting Data Online (Slide)
Data Collection and Extraction (Slide)
Looking at the Data (Slide/Activity)
Bug Arena: MakeCode AI Arcade
Teacher: Eric Normil-Mendez
Grades: 6-8
This activity aligns with the AI Literacy Framework, empowering students to engage and create with AI in positive, meaningful ways that further their technical skills and understanding in order to thrive in a world influenced by AI.
Images from Expedition AI at AMNH on June 6, 2026
Whose Art is it, Anyway?
Teacher: Hyejung Jung
Grades: 4-5
By the end of this lesson, upper elementary students understood that AI art generators are not "magic" but are systems built by humans using data from real artists.
Whose Art Is It, Anyway? (Video)
Images from Expedition AI at AMNH on June 6, 2026
How Trustworthy is an AI Search?
Teacher: Jason Padilla
Grade: 4
This lesson's learning objectives are to have students critically think about search results and the data being used to provide responses from AI.
How Trustworthy is an AI Search poster (image from Expedition AI at AMNH on June 6, 2026)
Visualizing Bias in Generative AI
Teacher: Jenna Mei
Grade: 4
Students were able to visualize the processes of generative AI through hands-on activities and explain how the dataset impacted the responses to AI prompts.
LLMS As Probabilistic Systems that Perpetuate Bias
Teacher: Karla Sutton
Grades: 11-12
Students were able to explain how Large Language Models are probabilistic, and how they function by predicting the next word (token) based on probability and statistics from their training data.
AI All Around Us! Exploring AI, Robots, and Sensors
Teacher: Katrina Gordon
Grades: K-3
Through discussions and activities, students learned that humans create and control AI and should use it responsibly.
AI All Around Us (Lesson Slide Deck)
Expedition AI: AI All Around Us (Canva Presentation)
AI Robot Worksheet - Grades K-1 (Worksheet - PDF)
AI Robot Worksheet - Grades 2-3 (Worksheet - PDF)
Booklet AI or Not Game (Website game created by Katrina Gordon)
Natural or Artificial Kahoot Game (Web Resource Game created by Katrina Gordon)
The Choice to Use AI and Its Environmental Impact
Teacher: Kay Morrison
Grades: K-2
Students learned the effects of using AI to create images. They responded to a series of questions that helped to promote critical thinking and used the information they learned to make a choice whether it was best to use AI to create images or to create their own.
AI and Your Child: What Parents Need to Know
Teacher: Marlene Rookwood
Grades: K-5 Parents
This lesson for parents was adapted from Common Sense Media. The goal was to define AI and identify AI usage at home and school by discussing its pros and cons and informing parents how AI can be used as a tool to bridge learning between home and school.
Activity Guide for Parents: Talking to Your Kids About AI (English Conversation Cards - PDF)
How Do Machines Learn? Pattern Recognition + Drawing
Teacher: Noah Benus
Grades: K-2 (Complete the Drawing: Patterns + Symmetry)
9-12 (Grid Weave Illustration: Surrealism + Juxtaposition)
Using "Day of AI" lessons as a framework for teaching students about what machines are, how machines work, and how we relate/experience AI.
AI Digital Portfolio
Teacher: Petya Herz
Grade: 9
By completing this lesson, students understood AI Fundamentals, including the basic definition and real-world applications of Artificial Intelligence in their daily lives.
Artificial vs. Natural
Teacher: Rebecca Lugo
Grades: K-2
Students recognized the difference between things made by people (artificial) and things found in nature (natural).
The 'Is it alive?' sorting game (Website Resource with downloable sorting cards)
AI in Action: Teaching Computers to Recognize Emotions
Teacher: Rosangela Villanueva
Grades: 4-5 Bilingual Bridge
Students expanded their understanding of how AI machine learning works through training a teachable machine to identify happy and sad emotions.
Machine Learning & Emotions with Teachable Machine (Full Lesson Plan - Google Doc)
Teachable Machine Slides
Images from Expedition AI at AMNH on June 6, 2026
AI Ethics and the Future: Research and Group Presentations
Teacher: Saloua Daouki
Grade: 8
Students worked in groups to research topics such as fairness, bias, data privacy, and responsible AI.
Independent Investigation Methods LLM: Learning Through Inquiry, Research and Innovation. Empowering Students in Grades 6-8 to Think Critically, Explore Deeply, and Create Meaningfully (Slideshow)
Student Presentations: In LLM-AI, 8th-grade honors students explore real-world problems and design their own AI-based solutions. The following are five examples of students’ projects from the academic year 2025-2026. (website with links to student presentations)
How Can AI Be Biased?
Teacher: Sangmin Pak
Grades: 9-12
In this lesson, students were able to recall how AI perceived data in order to make sense of the world and explain how the quality and quantity of data could impact an AI’s decisions.
Be a Cancer Prediction AI Software! (Worksheet)
Be a Cancer Prediction AI Software! (Lesson Plan)
Be a Cancer Prediction AI Software! (Sample Images for Lesson Plan)
AI Ethics
Teacher: Stefanelli Romano
Grades: 9-10
Students will define Artificial Intelligence by distinguishing it from traditional programming and automated technology.
My AI-Proof Career Essay
Teacher: Steven Rohttis
Grade: 11
By the end of this unit, students were able to describe Artificial Intelligence in their own words and its harmful effects on people as well as provide reasons and evidence to support these beliefs.
‘Are You a Technoskeptic?’ (Quiz Worksheet)
Are You AI-Proof? (Activity)
Updating to Remain the Same: Culture in the Age of AI
Teacher: William Cheung
Grade: 9
Students analyzed how AI systems shape culture, behavior, and power through the lens of critical media theory.
EEAI Policy Proposals
EEAI Policy Proposals
Looking for ways to help shape your school’s approach through a Critical AI lens? Explore the policy proposals developed by our EEAI educators.
Looking for ways to help shape your school’s approach through a Critical AI lens? Explore the policy proposals developed by our EEAI educators.
Translanguaging Through AI
Teacher: Antonette Nicholas
Grades: PK-5
Artificial Intelligence is rapidly transforming education. Rather than banning AI tools, school districts should focus on creating responsible frameworks that prioritize equity, inclusion, multilingualism, and human-centered instruction.
Privacy, Data Ethics, and the "AI-as-a-Thought-Partner" Model
Teacher: Bibi Yacoob
Grades: K-5
Focusing on accountability and product lineage will help us clearly define who is responsible if AI fails or causes harm. One policy action is to maintain a central registry of all AI tools used within an organization, including who ‘owns’ the tool and who is responsible for its maintenance.
The AI Guardrails & Green Lights Project
Teacher: Charles Gerber
Audience: NYCPS Staff
This policy will ensure that every NYCPS employee possesses the techno-ethical literacy and technical foundational knowledge required to protect student privacy, mitigate systemic bias, and maintain human accountability in an AI-integrated city.
AMNH AI Quiz (Google Form)
AI Predicts. Humans Verify (Classroom cards)
AI Predicts. Humans Verify. Flyer (QR code links to the Google Form)
Explicit Updates to IDEA and Chancellor's Regulation A-710
Teacher: Cynthia Perez Beltethon
Grade: 8
The Individuals with Disabilities Education Act (IDEA) and Regulation of the Chancellor A-710 were written in an era prior to the AI boom. As a result, they must be updated to include explicit language that states that AI cannot be used to develop students’ Individual Education Plans (IEPs) or 504 accommodation and services plans.
Cognitive Agency and Productive Friction Framework
Teacher: Shira Moskovitz
Grades: 4-8
The impact of this policy would be to protect the development of independent critical thinking and ensure that AI usage translates into measurable knowledge gain rather than just task completion.
Cognitive Agency in the Age of AI: A New Framework for NYC Students with Shira Moskovitz (YouTube Video)
Antecedents to AI Advisement
Teacher: Stacey Crabbe
Grades: 4-5
Students should not go directly to AI without pre- or post-thinking or iterating.
Quarterly AI Bias Audits: Quality Control
Teacher: Starr Butler
Grade: 10
This policy should exist because students need regular practice identifying how AI perpetuates inequality, so they can hold AI developers and users accountable for these limitations. Quarterly audits build the habit of critical evaluation, ensuring students question rather than passively accept AI-generated content.
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