Privacy and Responsible Technology
Responsible technology use starts with people, data, purpose, evidence, consent, and the risks schools are willing to accept.
Privacy and responsible technology are recurring concerns across Miguel’s writing. Schools adopt tools to solve real problems, but those tools can introduce new risks. A useful app can still collect too much data, expose students to unclear terms, or create work that no one has planned to support.
This hub collects posts about student privacy, cybersecurity, responsible AI adoption, school data, tool evaluation, and governance questions. It is especially relevant when a tool is marketed as easy, free, AI-powered, or classroom-ready.
Miguel’s perspective is practical: technology decisions should start with purpose and risk, not novelty. Schools need tools that support learning while respecting student data, educator workload, accessibility, and public trust.
Important terms include data minimization, consent, governance, cybersecurity, responsible AI, terms of service, privacy policy, and risk review.
Original Frameworks
- PROTECT: A rubric and planning lens for AI safety and governance.
Related Projects
- DrawSplat: Privacy-first classroom tools and experiments.
Start Here
- DrawSplat Privacy and Compliance: Notes on privacy and compliance for a classroom tool.
- Protecting Data Is Still Your Responsibility: A reminder about data protection obligations.
- Student Privacy Shield: A portfolio article connected to privacy protection.
Recent Writing
- The Prompt Library
- Remembering Thingamablog and a New Start for ATC
- Age Verification Has Arrived in Texas
- MyNotes: Texas Parks and Wildlife Data Breach
- Anthropic Privacy Policy Update
- 12 – The Learning Loop: DrawSplat™ and the Return of Student-Centered Creation EdTech Privacy Whiteboards FREE NoAI
- DrawSplat Feature: EU GDPR Support EduSky education
- DrawSplatTM: Privacy and Compliance
- Introducing DrawSplat, A Free Whiteboard Plus Solution
- Authoritarian Tik Tok Policy?
Questions People Ask
What should schools ask before adopting a tool?
Ask what data is collected, who receives it, how long it is retained, whether students are involved, and how success will be evaluated.
Does a useful tool automatically belong in school?
No. Usefulness is only one factor. Privacy, accessibility, support, cost, and instructional purpose also matter.
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