Summary:
- This article discusses the potential issues and risks of using artificial intelligence (AI) in education. It highlights four "frictions" or challenges that educators should consider when implementing AI technologies.
- The first friction is the "black box" problem, where AI systems can make decisions without being transparent about their inner workings. This can make it difficult for teachers to understand how the AI is reaching its conclusions.
- The second friction is the "standardization" problem, where AI-powered systems may enforce a one-size-fits-all approach to learning, reducing the ability for personalized, flexible instruction.
- The third friction is the "surveillance" problem, where AI systems can collect and analyze vast amounts of student data, potentially infringing on privacy and autonomy.