ChatGPT and Google Gemini present similar challenges regarding FERPA compliance due to their nature as large language models. The primary concern is ensuring Personally Identifiable Information (PII) from student records is not inadvertently shared, stored, or used for model training without proper consent. Both platforms require robust data privacy agreements with educational institutions, explicitly outlining how student data will be handled, processed, and retained. Institutions must verify that vendor agreements with OpenAI or Google include specific clauses prohibiting the use of FERPA-protected data for model improvements unless it is fully anonymized or explicit parental consent is obtained. Consequently, the performance comparison largely hinges on the specific contractual safeguards and data governance policies each company offers to schools, rather than inherent model capabilities. Ultimately, careful implementation and strict adherence to data anonymization techniques are critical for using either AI responsibly within educational settings. More details: https://yulong.ru/redirect?url=https%3A%2F%2F4mama.com.ua