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.
Review the purpose before the platform
Use a concrete learning need to begin a review. Examine what data the tool receives, whether its access and controls fit your setting, and how staff will evaluate its usefulness.
- SHINE and Responsible AI Adoption: A framework and reflection for evaluating educational innovation.
- DrawSplat Privacy and Compliance: Read the tool’s privacy and data-handling discussion.
- DIY Local AI Workshop Resources: Explore a dated workshop on local models; check current requirements.
Original Frameworks
- PROTECT: A rubric and planning lens for AI safety and governance.
Related Projects
- DrawSplat: Privacy-first classroom tools and experiments.
Start Here
- SHINE and Responsible AI Adoption: A framework and reflection for evaluating educational innovation.
- DrawSplat Privacy and Compliance: Read the tool’s privacy and data-handling discussion.
- DIY Local AI Workshop Resources: Explore a dated workshop on local models; check current requirements.
Recent Writing
- Exploring Lumo AI
- AI is Bad for Learning
- Tools to Work Smarter, Not Harder
- The Prompt Library: Reusable AI Prompts for Educators
- 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.
How should I read older tool and privacy articles?
Use them to understand the questions and examples, then check the provider’s current terms and your organization’s requirements. An old product comparison or workshop description does not establish current privacy protections.
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