Overview
Bias in AI is a legitimate concern, and a particularly important one in special education. Disproportionality in identification, eligibility, and the services students receive has been a persistent problem in our field for decades. Any AI tool used in IEP development has a responsibility to take that history seriously.
This page explains how Playground IEP approaches bias prevention — six design choices that shape the system, plus an honest acknowledgment of what AI cannot fully eliminate.
How we approach bias
1. The educator is always the author
Playground drafts; the special educator reviews, edits, and approves. AI is a starting point, never the final word. A human who knows the student is always in the loop. This is the most important guardrail.
2. We ground outputs in student-specific evidence, not assumptions
The Goal Writer and Present Level tools require real data — work samples, raw scores, observation notes. The system will not generate a goal from a disability category alone. In practice, the Present Level tool will push back and ask for more information rather than fill gaps with assumptions.
3. We do not pass demographic data into the AI
Race, ethnicity, gender, primary language, and socioeconomic context are not used as inputs to any AI tool in Playground. Outputs are based on the student's actual academic data.
4. We use Anthropic, a leading frontier AI lab
Anthropic invests significant resources into bias testing, red-teaming, and safety research. We benefit from that work directly rather than trying to reproduce it ourselves.
5. We do not train on your data
Student data submitted to Playground is never used to train or fine-tune AI models. This matters for bias because it prevents one teacher's flawed inputs from polluting outputs for everyone else.
6. Districts can customize the audit rubric
If your district or your state has equity-focused IEP standards, you can load that rubric into Playground and the audit tool will check IEPs against it — flagging language, goals, or accommodations that fall short.
An honest framing
No AI system is fully bias-free, and we will not claim Playground IEP is. Our position is that the combination of educator-in-the-loop, evidence-grounded generation, no demographic inputs, frontier models with strong safety work, and district-customizable audit standards is the most responsible posture available today. We are transparent about that with every district we work with, and we will continue to evolve as the field does.