Common Sense Privacy Launches Framework to Help Education Technology Companies Comply With State AI Laws

Common Sense Privacy introduced an assessment tool on October 2 to help educational technology vendors understand and comply with the varying state regulations governing artificial intelligence and student data privacy. The framework evaluates companies' practices across transparency, accountability, and protections for minors, including how AI models are trained and how student data is handled. The assessment will be regularly updated as AI regulations and industry standards evolve.
Common Sense Privacy developed the assessment by analyzing both existing and proposed AI legislation across states, while also consulting directly with school districts and education technology companies to understand their operational challenges. The framework integrates into the organization's Wizard platform, requiring minimal additional effort from vendors to complete relevant assessments. The tool addresses specific concerns including how artificial intelligence models are trained on student information, how automated systems make decisions affecting users, and safeguards around minor interactions with chatbot technologies.
Common Sense Media's broader advocacy work has included efforts to scrutinize AI tools entering educational settings. The organization has previously campaigned on California ballot measures related to children and AI chatbots, raised concerns about privacy implications of virtual reality educational tools, and issued critical assessments of Google's AI search functionality for student use, citing risks of inaccurate responses and homework completion capabilities.
The assessment could reduce compliance burdens for education technology companies facing disparate state regulations, potentially accelerating product development and market entry. Students, families, and educators may gain clearer information about how their data is protected within AI-enabled educational tools. However, the framework's effectiveness depends on vendor participation and adoption rates, and standardized assessments may not fully address emerging privacy risks as AI technology continues evolving faster than regulatory frameworks.