School districts are increasingly interested in using Generative AI (GenAI) to improve education, but they must prioritize student privacy and accessibility when selecting and implementing these tools. Linnette Attai, a privacy expert, emphasizes the importance of protecting student data and emotional well-being in addition to preventing security breaches. She recommends that districts have clear objectives, thoroughly understand the tools they are using, and test them with staff before students to ensure they align with educational purposes.
A practical example of responsible GenAI implementation is Hinsdale Township High School District 86 in Illinois, where Chief Information Officer Keith Bockwoldt oversees a program that allows teachers to pilot new tools with district funding. Teachers must submit proposals that comply with data privacy policies and demonstrate the impact of the tools before broader adoption. Keith emphasizes the importance of vendor compliance and ongoing engagement to maintain data privacy standards.
Jordan Mroziak, from InnovateEDU, stresses the need for a deliberate approach to adopting AI technologies, focusing on meeting the needs of all students, especially those who are underserved. He highlights the EdSAFE AI Industry Council, which promotes responsible AI development through safety, accountability, fairness, equity, and efficacy. Jordan also mentions the importance of adhering to ADA standards for accessibility in AI tools, ensuring equitable access for all students by involving diverse stakeholders in testing and making necessary adjustments.
In conclusion, integrating GenAI tools into education presents opportunities for improvement, but it is crucial to address data privacy and accessibility challenges. Thoughtful implementation, ongoing evaluation, and adherence to privacy and accessibility standards are essential to maximize the benefits of AI tools while supporting all students effectively.
