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Think About Privacy

AI platforms have different privacy features, data policies, and compliance standards. Before sharing institutional data, understand each platform's privacy controls and verify alignment with Health Insurance Portability and Accountability Act (HIPAA), Family Education Rights and Privacy Act (FERPA), and your institution's requirements. Pay special attention to data retention policies and whether conversations are used for AI training. Consider these benefits of due diligence:

  1. Security and accuracy. Promotes sensitive information is handled appropriately.
  2. Planning help. Enables safe sharing of institutional context for implementation planning.

Original (Less Effective) Prompt

"Compare the privacy features of different AI platforms."

Improved Prompt

"Search the web to create a current privacy comparison table for [Platform 1], [Platform 2], and [Platform 3]*, focusing on:

1. Data Handling 
     o Collection practices.
     o Storage duration.
     o Training data usage.
2. Privacy Controls 
     o Opt-out options.
     o Deletion capabilities.
     o Access controls.
3. Compliance 
     o HIPAA/FERPA features.
     o Security certifications.
     o Audit capabilities.

Use official documentation and include URLs for verification. Note when information isn't publicly available or needs institutional verification."

* Replace [AI Product 1, 2, or 3] with actual product names you’re researching

Why it's better

  • Requests structured outputs in an easy-to-scan table.
  • Uses live web search for current policies.
  • Focuses on critical educational regulations (e.g., HIPAA, FERPA).
  • Requires sources for verification.
  • Shows enterprise versus basic feature differences.