Innovation arcade: Exploration lab 
Purpose: To help educators understand the intersection of DEI and AI in education, foster an understanding among educators about the significance of bias in AI, and equip them with tools that promote an inclusive educational environment.
Objectives:
Educators will understand how DEI relates to implementing AI tools in education.
Educators will be able to help students to understand the impact of bias in AI and how to address it.
Educators will learn about the AI tool that can be used to allow students to create a more inclusive school or class community.
Understanding DEI and AI
A. Diversity:
1. Why Identity matters
2. The importance of Ed Tech to meet the news of our diverse learners
B. Equity:
1. Differentiating between equality and equity in education.
2. How EdTech can level the playing field and provide equitable access to resources.
C. Inclusion:
1. Creating inclusive digital classrooms and learning environments.
2. EdTech's potential in promoting inclusive pedagogies and practices.
II. Navigating the Landscape of AI in education
A. Overview of Current AI Trends:
B. Spotlight on DEI:
1. Case studies showcasing AI tools that amplify bias.
2. Case studies of AI tools that successfully address DEI principles.
III. Unpacking Bias in AI
A. Types of Biases:
1. Algorithmic bias stemming from training data.
2. Cultural and societal biases replicated in AI tools.
3. Confirmation bias in AI learning recommendations.
C. Educator Reflection:
1. Guided activity for educators to reflect on biases they've observed.
2. Brainstorming ways to counteract these biases in their classrooms.
V. Tools and Strategies for an Inclusive AI-Driven Classroom
A. AI tools that are designed with DEI in mind
B. Guidelines for selecting DEI-conscious AI tools.
C. Strategies for integrating these tools to promote inclusivity.
IV. Empowering Change: Students as Advocates for DEI
A. Championing DEI:
1. The Students' role in driving DEI initiatives within their institutions.
2. How students can use as a force for change for inclusion.
B. Building a Community:
C. Collaborative projects and initiatives to continually support DEI in the classroom.
What Do We Do About the Biases in AI? by James Manyika, Jake Silberg, and Brittany Presten
"How I'm fighting bias in Algorithms" by Joy Buolamwini https://www.ted.com/talks/joy_buolamwini_how_i_m_fighting_bias_in_algorithms
Algorithmic Justice League https://www.ajl.org/library/education
"AI is coming to schools, and if we’re not careful, so will its biases" Brookings Institute
"Why Schools Need to Talk About Racial Bias in AI-Powered Technologies" Ed Week
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