Artificial intelligence is rapidly changing the way educational institutions operate. From supporting lesson development and personalized learning to improving communication, accessibility and administrative efficiency, AI-powered tools are creating new possibilities for schools, educators and students alike.
However, introducing new technology also brings new responsibilities. Behind every AI application are important considerations involving student privacy, data security, regulatory compliance and the responsible use of information. Without proper evaluation, a tool designed to simplify everyday tasks could introduce unexpected cybersecurity vulnerabilities, operational challenges or reputational concerns.
For school administrators, adopting AI should involve more than evaluating its features or potential benefits. Understanding how a platform works, what information it handles and how its provider manages security is equally important.
Before approving a new AI solution, consider these seven essential questions.
1. What Information Will the Tool Collect?
Understanding what data an AI platform collects is the first step in evaluating its suitability for an educational environment.
Depending on its purpose, a tool may process student names, email addresses, academic records, grades, assignments, learning plans, employee information or other sensitive details. Some platforms may also collect usage data, uploaded documents or information generated through user interactions.
School leaders should identify exactly what information users can submit and determine whether collecting that information is necessary for the tool to perform its intended function.
A useful starting point is to follow the principle of data minimization: only provide information that is genuinely required. Limiting the amount of sensitive data entered into an application can help reduce unnecessary exposure.
2. How Will the Information Be Used?
Knowing what information a platform collects is only part of the picture. Schools should also understand what happens to that information after it enters the system.
AI providers may use submitted data to deliver services, improve platform performance, train or refine AI models, or support other business operations. Depending on the provider’s practices, information may also be shared with third-party service providers or retained for periods that extend beyond the original interaction.
Before adopting a platform, ask the vendor to explain:
- Whether submitted information is used to train or improve AI models.
- Whether data is shared with external providers or other organizations.
- How long information is retained and under what circumstances it is deleted.
- Whether submitted information may be used for marketing, advertising or other secondary purposes.
- Whether users can control how their information is stored and processed.
Clear answers help schools determine whether a platform’s data practices align with their privacy expectations and internal policies.
3. Where Is the Data Stored, and How Is It Protected?
An AI platform may offer useful functionality, but its security measures are just as important as its features. Schools should understand where information is stored, how it is transmitted and what safeguards protect it from unauthorized access, loss or misuse.
Vendors should be prepared to explain their security practices, including:
- Data encryption: Whether sensitive information is protected during transmission and while stored.
- Authentication controls: Whether multifactor authentication and other identity verification measures are available.
- Access restrictions: How permissions are assigned and how unauthorized access is prevented.
- Security monitoring: Whether systems are monitored for suspicious activity and potential vulnerabilities.
- Backup procedures: How information is protected against accidental loss or system failures.
- Incident response: What processes are followed when a security vulnerability or data breach is discovered.
Schools should look beyond general assurances that a platform is secure. Vendors should be able to describe their safeguards clearly and provide appropriate supporting documentation.
4. Who Can Access the Information?
Data security depends not only on how information is stored, but also on who is permitted to access it.
School administrators should identify which individuals or organizations may have access to information submitted through an AI platform. This includes authorized school employees, vendor personnel, technical support teams and third-party service providers.
It is equally important to understand how access permissions are assigned and maintained. User accounts should reflect individual responsibilities, with access limited to those who genuinely need it.
Schools should also establish procedures for managing accounts when employees change roles, students leave the institution or vendor relationships end. Regular access reviews can help identify outdated permissions and reduce the risk of unauthorized data exposure.
5. Does the Platform Meet School Policies and Applicable Requirements?
Not every AI application is appropriate for every educational environment. Before introducing a new platform, schools should evaluate whether its functionality, data practices and intended uses align with existing district policies and applicable legal requirements.
Depending on the type of information being processed and the age of the users, relevant considerations may include the Family Educational Rights and Privacy Act (FERPA), the Children’s Online Privacy Protection Act (COPPA), state student privacy laws, records retention requirements and internal technology policies.
The review should also consider whether the platform is appropriate for classroom use, whether it introduces restrictions or risks for particular student groups and whether its outputs require additional human oversight.
Involving the right people early can make the evaluation process more effective. Technology administrators, curriculum specialists, legal counsel, data privacy personnel and risk management professionals may all have valuable perspectives when assessing a proposed solution.
6. What Happens if the Vendor Experiences a Security Incident?
Even providers with established security programs may experience data breaches, service disruptions or other cybersecurity incidents. Schools should understand how a vendor will respond before granting access to institutional information.
Written agreements should clearly outline the provider’s responsibilities if sensitive data is compromised or a security incident affects the platform.
Important considerations include:
- How quickly the vendor must notify designated school representatives.
- Which communication channels will be used to report incidents.
- What investigative and technical support the provider will offer.
- How the vendor will assist with applicable notification obligations.
- What steps will be taken to contain the incident, restore services and prevent similar events.
Establishing these expectations in advance can help reduce confusion, support a coordinated response and clarify responsibilities when time-sensitive decisions are required.
7. How Will the School Oversee the Tool Over Time?
Approving an AI platform should be the beginning of an ongoing oversight process, not the final step.
Technology evolves, vendors update their services and data practices can change. A platform that initially meets school requirements may introduce new features, integrations or privacy considerations that require additional review.
To maintain appropriate oversight, schools should establish clear guidelines for acceptable use and provide practical training for employees and students. Users should understand what information can be shared, which tasks are appropriate for AI assistance and when human review is necessary.
Periodic evaluations should also examine whether the platform continues to meet security, privacy and educational expectations.
Finally, schools should understand what happens when a service is discontinued. Vendor agreements should address data return or secure deletion, account deactivation and the removal of access permissions to help ensure that sensitive information is not unnecessarily retained.
Building a Responsible Approach to AI Adoption
Artificial intelligence has the potential to bring meaningful improvements to education, creating new opportunities for teaching, learning and school administration. However, successful adoption requires more than enthusiasm for new technology.
A thoughtful approval process helps educational institutions balance innovation with accountability. By evaluating data collection practices, security safeguards, vendor responsibilities and long-term oversight requirements, schools can make more informed decisions and reduce unnecessary exposure.
The goal is not to avoid new technology, but to introduce it with a clear understanding of its capabilities, limitations and potential consequences.
Before the next AI platform enters the classroom or administrative environment, take the time to ask the right questions. A little preparation today can help protect sensitive information, strengthen institutional safeguards and support more confident technology decisions tomorrow.









