AI in special education should not begin with hype. It should begin with access.
For students with cognitive impairments, learning differences, or communication challenges, the most meaningful technology is not the newest generative tool. It is the tool that helps them show what they know, speak their thinking, and participate more fully in class. That is the right standard for evaluating AI: does it increase access, or does it mainly add noise?
Start with accessibility, not novelty
The clearest value of AI in special education is accessibility. Speech-to-text matters because some students can think more clearly than they can type. Tools that capture spoken language can open up curriculum access in a way that more conventional workflows cannot.
This is why educators should be careful about assuming that one tool fits all learners. In special education, the best technology is often the one that reduces barriers between a student and the work in front of them.
Use AI to support expression
One of the most promising uses of AI is helping students communicate what they know in a credible, usable form. For students ages 14 to 19 with varied communication styles, dialects, and speech patterns, AI may help transform spoken ideas into something they can build on academically.
That matters because the goal is not just completion. The goal is expression, independence, and participation. If a student can speak their thinking and have it captured accurately, that is a meaningful shift in access.
Do not ignore the ethical risk
AI also creates real concerns. The same tools that may help students access reading or writing can also expose them to harmful spaces or misleading content. That risk is especially serious for students who have fewer safeguards against manipulation.
Special education teachers cannot treat AI as neutral. Every tool carries assumptions about accuracy, purpose, and ethics. Educators need to ask who built the tool, what it rewards, and how it may shape student behavior.
Teachers are curators of development
The role of the educator is not simply to deliver content. In special education, teachers are curators of development. That means making decisions that support where students are now and where they need to go next.
AI should be chosen and used in service of that mission. The question is not whether a tool is impressive. The question is whether it helps students access the curriculum, grow in independence, and prepare for life beyond the classroom.
Schools need clearer policy guidance
One of the biggest problems in AI adoption is inconsistency. If there is no shared guidance, every teacher ends up making individual judgments about authenticity. That creates confusion for staff and students alike.
Schools and districts need clearer direction on what counts as authentic work in an AI environment. Without that, teachers are left to make moving-target decisions on their own.
A practical framework for special education
- Prioritize access before experimentation.
- Choose tools that help students express what they know.
- Evaluate AI for accuracy, ethics, and student safety.
- Use technology to reduce barriers, not create new ones.
- Establish consistent schoolwide expectations for authenticity.
AI in special education should not replace human judgment. It should support it. The most responsible use of AI is the one that expands access while keeping educators firmly in charge of development, ethics, and purpose.
Frequently Asked Questions
What is the most valuable AI use in special education?
Speech-to-text and other accessibility tools that help students express what they know and access the curriculum more fully.
What is the biggest concern about AI in special education?
Its ethical risk, including inaccurate outputs and the possibility of exposing vulnerable students to harmful or manipulative content.
How should educators think about their role with AI?
As curators of development who use technology to support student growth, independence, and curriculum access.
Why do schools need AI policy guidance?
Without shared guidance, each teacher makes separate authenticity judgments, creating inconsistency and confusion.
For more context, listen to the original episode of Margin of Thought with Priten: How Should Special Education Approach AI? – Brian Merusi.