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Equity and Bias in AI: Who Has Access, Who Gets Support, and Whose Voices Are Heard?

This webinar aims to build a clear, shared picture of the current state of AI adoption and training through an equity lens.
Black teacher and student work together in school computer lab

There is a strong push to integrate AI into teaching and learning. That push raises two equity concerns, which this webinar brings together: who has access to AI and to training on how to use it, and whose voices and experiences the tools themselves reflect.

Access and training are uneven. In some communities, students and educators use AI tools regularly and get support in using them well. In others, access is limited, inconsistent, or unsupported. That can widen gaps in skills, familiarity, and confidence.

The tools also carry bias. AI models trained on dominant language patterns may nudge students toward more standardized ways of thinking and writing, and they can reproduce racial and cultural bias. Some students may be affected more than others.

This webinar aims to build a clear, shared picture of the current state of AI adoption and training through an equity lens. Educators from different contexts will share what they are seeing on the ground and discuss how to implement AI responsibly without widening existing gaps or reinforcing bias. The topic is sensitive, and it aligns closely with NEA's direction.

March 16th, 7:30-8:30 pm Eastern

Guiding questions

  • What does equitable access to AI tools and AI training look like right now?
  • What are educators seeing across different school and community contexts?
  • If AI is trained on dominant language patterns, what does that mean for students whose voices or experiences don't fit that mold?
  • How can AI tools reproduce racial and cultural bias, and which students are most affected?
  • How do we implement AI responsibly without widening gaps or reinforcing bias?

Learning objectives

Participants will be able to:

  1. Describe how access to AI tools and training differs across school and community contexts.
  2. Recognize how bias, including racial and cultural bias, can show up in AI tools and in student work.
  3. Identify practices that promote equitable access and keep diverse voices central in an AI-supported classroom.

About the AI Webinar Series

NEA and ISTE are holding a four-part webinar series on how AI is shaping student thinking, creativity, and equity. Each session is built as a conversation with educators rather than a set of final answers.

The first two sessions focus on protecting student thinking and creativity. The third examines equity and bias: who has access to AI and to training, and whose voices the tools amplify or flatten. The fourth is dedicated to students' own experiences with AI, including equity of access and support.

Each webinar below follows the same structure: description, guiding questions, learning objectives, proposed participants, and space for partner questions and comments.