AI and FERPA Compliance: What Higher Ed Needs to Know

FERPA Basics for AI

The Family Educational Rights and Privacy Act (FERPA) protects student education records. AI systems that access student data must comply.

What FERPA Protects

• Academic records

• Enrollment status

• Financial information

• Personal identifiers

• Educational activities

Key Requirements

• Written consent for disclosure

• Legitimate educational interest

• Directory information exceptions

• Right to access and amend

• Secure handling

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AI and "School Official" Exception

AI systems can access student records without consent under the school official exception if they:

1. Perform a function the school would otherwise do 2. Are under direct control of the institution 3. Use data only for specified purposes 4. Meet security requirements

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FERPA Compliance Checklist for AI

Contract Requirements

✅ AI provider functions as school official ✅ Direct control provisions ✅ Use limitations specified ✅ Re-disclosure prohibited ✅ Security commitments ✅ Data return/deletion provisions

Technical Requirements

✅ Access controls ✅ Encryption ✅ Audit logging ✅ Secure transmission ✅ Data minimization

Administrative Requirements

✅ Staff training ✅ Compliance monitoring ✅ Incident response ✅ Documentation

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ibl.ai FERPA Compliance

Data Ownership

• Institution owns all data

• No secondary use

• No data sharing

• Complete control

Self-Hosting Option

• Data never leaves campus

• Maximum privacy

• Full governance

• Compliance simplified

Security Features

• Encryption at rest and transit

• Role-based access

• Audit logging

• SOC 2 compliance path

Contract Terms

• School official provisions

• Use limitations

• Security commitments

• Data handling clarity

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Common FERPA Concerns with AI

Concern: Student Conversations with AI

Answer: Conversations may be education records. Ensure:

• Appropriate data handling

• Access controls

• Retention policies

• Disclosure protections

Concern: AI Training on Student Data

Answer: Training on student data requires careful consideration:

• ibl.ai does NOT train general models on your data

• Course materials are used for context only

• Clear data use policies

Concern: Third-Party Access

Answer: ibl.ai's self-hosting option eliminates third-party access concerns entirely.

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Best Practices

1. Review contracts carefully for FERPA terms 2. Minimize data shared with AI systems 3. Document compliance measures 4. Train staff on appropriate use 5. Consider self-hosting for maximum control

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Conclusion

FERPA compliance with AI is achievable with proper planning and the right platform. ibl.ai's approach:

• Full data ownership

• Self-hosting option

• Proper contract terms

• Security certifications

protects student privacy while enabling AI innovation.

Ready for compliant AI? [Explore ibl.ai](https://ibl.ai)

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*Last updated: December 2025*