Data Privacy Considerations and Recommendations for GenAI Adoption in Schools
Key Points:
- School districts must carefully select GenAI tools to meet their unique needs, ensuring data privacy and accessibility.
- Protecting student data and complying with accessibility standards is crucial for creating an inclusive and secure educational environment.
Data Privacy Considerations and Recommendations:
Linnette Attai, Project Director for CoSN’s Student Data Privacy Initiative, shares insights on data privacy risks associated with adopting GenAI tools and offers guidance for responsible implementation.
- Ownership and Control of Data: District leaders should be cautious when using large language models not specifically designed for educational purposes.
- Key Privacy Considerations:
- Have a clear objective for using GenAI tools.
- Be informed before testing new tools.
- Start with staff testing before involving students.
Practical Example: Hinsdale Township High School District 86
Keith Bockwoldt, Chief Information Officer for Hinsdale Township High School District 86, shares his district’s thoughtful approach to GenAI. Keith’s ‘Reimagining Learning through Innovation’ program allows teachers to pilot new tools funded by the district’s IT budget.
- Vendor Compliance: Ensure vendors are aware of and comply with data privacy policies.
- Ongoing Vendor Engagement: Continuous communication with vendors is crucial for maintaining compliance with data privacy standards.
Ensuring Accessibility
Jordan Mroziak, Project Director for AI and Education at InnovateEDU, emphasizes the need for a deliberate approach to adopting new technologies.
- EdSAFE AI Industry Council: Aims to offer guidance and reliable standards for districts exploring GenAI tools.
- ADA Title II: Requires that accessibility is prioritized from the beginning.
Conclusion:
The integration of Generative AI tools into education offers significant opportunities for enhancing learning and efficiency. However, it also poses challenges related to data privacy and accessibility. Thoughtful implementation and ongoing evaluation are essential to maximize the benefits of these tools while ensuring the protection and support of all students.
Frequently Asked Questions:
Q: What are the key privacy considerations for adopting GenAI tools in schools?
A: Ownership and control of data, having a clear objective, being informed before testing, and starting with staff testing.
Q: How can districts ensure vendor compliance with data privacy policies?
A: By ensuring vendors are aware of and comply with data privacy policies, and maintaining continuous communication with vendors.
Q: What is the EdSAFE AI Industry Council?
A: A collective effort to offer guidance and reliable standards for districts exploring GenAI tools, developed with the principles of safety, accountability, fairness, equity, and efficacy.
