Future Tech Slides Future Tech Voices
AI Generators, Representation, and You
What is AI?
Creation Tool
Technology that creates new content—images, music, or stories—from your Prompts.
The Method
It identifies patterns in data to predict and build results.
GENERATING...
"Imagine a city where your dreams are the blueprints."
Class Scramble
G O R I T H M I
Clue: The steps an AI follows to solve a problem.
Representation
If an AI only learns from data that ignores your culture, you become invisible in the future.
AI can inherit human BIAS.
It ignores cultural hair & style.
We must code for diversity.
"Representation is the Blueprint of Justice."
Find the Future
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☐ DATA
☐ BIAS
☐ CODE
☐ LEAD
Architect's Journal
"How can you use AI to solve problems in your community?"
Check your AI Explorer Worksheets for the final paragraph challenge!
AI Explorer Worksheet AI Explorer Worksheet
Innovation & Representation Edition
Name:
Date:
The Code Scramble
1. L G O R I T H M I
2. T P M R O P
3. S A I B
4. V O I E C
Matching Mission
Generative AI
Representation
Ethics
Dataset
Tech that creates new content based on patterns.
How groups are shown in technology and media.
Moral principles that guide how tech is built.
The library of images and text AI learns from.
Innovation Hunt
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BANK
☐ DIVERSE
☐ EQUITY
☐ JUSTICE
☐ CODE
☐ VOICE
☐ STORY
The Architect's Journal
Reflect on representation. How can young African Americans use AI generators to share their stories or solve problems? Why is it vital for Black creators to lead?
Future Tech Teacher Guide Teacher Facilitation Guide
Future Tech Voices: AI & Representation
Pacing
Intro & Slides 15 mins
Explorer Worksheet 15 mins
Justice Challenge 20 mins
Debrief / Share 10 mins
Objectives
Explain AI datasets and patterns.
Identify bias in training data.
Draft a cultural tech vision.
Answer Key
Worksheet Scrambles
1. ALGORITHM
2. PROMPT
3. BIAS
4. DATASET
Bonus Scramble
1. VOICE
Matching Keys
Gen AI: Tech that creates new content.
Rep: How groups are shown in tech.
Ethics: Moral principles for fairness.
Neural Net: Brain-modeled system.
Discussion Facilitation
"If tech ignores your culture, what happens to your seat at the table?"
"How can a diverse team change the way AI behaves?"
Misconceptions
False: AI is perfectly objective.Truth: AI reflects human data bias.
False: Data gaps are accidental.Truth: They reflect real-world history.
