An AI algorithm is only as unbiased as the data it's trained on.

If historical data reflects societal biases (racial, gender, economic), the AI will learn and amplify them.

This can lead to discriminatory and unfair outcomes for students from already marginalized groups.

The vast collection of student data by AI systems raises significant and urgent privacy concerns.

Key questions arise: Who owns the student's data, and how is it being protected from misuse or breaches?

Transparency is non-negotiable; students and parents have a fundamental right to know how AI is being used.

There is a growing, global call for clear regulations and strong ethical guidelines for AI in education.

Educators, policymakers, developers, and parents must collaborate to address these complex challenges.

The goal is to harness the immense power of AI while rigorously safeguarding the rights of students.

This web story delves into the critical ethical tightrope that the EdTech industry must walk.