The White House has encouraged tech companies to make commitments to responsible development of artificial intelligence (AI), focusing on researching the societal dangers AI poses, such as bias and privacy abuse, and developing AI that addresses these issues. This is particularly important in K-12 education, where AI has the potential to revolutionize teaching and learning. However, AI tools can also exacerbate existing inequities, especially language-related tools that don’t account for diverse speech patterns or dialects. Therefore, there is a need for transparency in how AI tools are built, with checks and balances to ensure accuracy and bias mitigation. Policymakers should prioritize establishing policies that set high standards for accuracy and equity in AI systems, and education leaders should create their own guidelines for using AI-powered ed tech. Ed tech companies must demonstrate that their AI is accurate and unbiased before it is used in classrooms. Independent assessment of bias is crucial, and organizations like Digital Promise offer certifications to assess AI-powered tools. The end goal is to develop AI-powered education tools that remove subjective human judgment and support teachers in meeting students’ individual learning needs, ultimately promoting equity in education. It is important to regulate AI development now to ensure responsible and equitable use of AI-powered learning tools in classrooms.
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