AI systems learn from data, and if that data is biased, the AI will be too.

This story explores the critical issue of AI bias in education.

Imagine an AI admissions tool that is biased against students from certain zip codes or backgrounds.

Consider a personalized learning path that steers students towards careers based on gender stereotypes.

This is a major ethical challenge that the EdTech industry must address.

Learn how AI bias can perpetuate and even amplify existing societal inequalities.

This is a call for greater transparency, fairness, and human oversight in educational AI.

Understand what questions to ask about the AI systems used in your school.

This is about ensuring that technology promotes equity, not discrimination.

We must build a future where AI serves all students fairly.