AI Is Here—So Let’s Use It Wisely
Artificial Intelligence (AI) is no longer a “future” topic in K-12 education. It’s already showing up in lesson planning, tutoring tools, writing support, research, accessibility features, and even day-to-day school operations. The question for districts isn’t whether AI will touch teaching and learning—it’s how to integrate it responsibly.
In June 2024, the Wisconsin Department of Public Instruction (DPI) released AI Guidance for Enhancing K-12 and Library Education, a living resource designed to help educators, librarians, administrators, students, and communities navigate AI with clarity and care. The guidance emphasizes responsible use, ethical decision-making, data privacy, and continuous improvement.
At TinyEYE, we support schools with online therapy services, and we see firsthand how new technology can expand access when implemented thoughtfully. AI can be part of that story—especially when it’s used to strengthen (not replace) human expertise and relationships.
First, a Quick AI Glossary (No Jargon Required)
The DPI guidance calls out a few core AI concepts that are helpful to keep straight:
- Artificial Intelligence (AI): Systems that can process information, reason, and adapt in ways that feel human—at computer speed.
- Machine Learning (ML): A subset of AI where systems learn patterns from data and improve decisions over time.
- Generative AI (GenAI): Tools that create new content (text, images, audio, video) based on prompts—think ChatGPT or DALL-E.
One simple takeaway: AI output quality depends heavily on input quality. That’s why schools need to explicitly teach students and staff how to use AI well—especially how to ask good questions, verify results, and recognize limitations.
The Big Idea: Keep AI Human-Centered
One of the most memorable concepts in the DPI guidance is the human-centered approach summarized as:
H > AI > H (Human > Artificial Intelligence > Human)
It’s a practical reminder that responsible AI use starts with a human goal and a thoughtful prompt, moves through an AI-generated response, and then returns to human judgment to evaluate and apply the information.
In schools, that can look like:
- A teacher drafts a rubric (Human)
- Uses AI to generate example feedback comments (AI)
- Edits and personalizes comments based on the student’s actual work (Human)
Or in student learning:
- A student forms a research question (Human)
- Uses AI to brainstorm keywords and counterarguments (AI)
- Checks sources, cites properly, and writes in their own voice (Human)
AI Works Best as a Tool and a “Partner”—Not a Substitute
The DPI guidance is clear: AI can support learning, but it cannot replace educators. Used well, AI can help personalize learning, spark curiosity, and open new pathways for inquiry-based learning. Used poorly, it can amplify bias, spread inaccuracies, and create privacy risks.
Healthy framing for schools:
- AI as a tool: Useful for drafting, brainstorming, translation support, accessibility, and practice opportunities.
- AI as a partner (when appropriate): A thinking companion that helps students explore ideas and reflect.
- AI as an emergent technology: Something students must learn to navigate responsibly—just like the internet, social media, and search engines.
Partner Engagement: Don’t Roll Out AI in a Vacuum
Successful AI integration depends on trust and shared understanding. DPI emphasizes engaging a wide set of partners—not just “the tech department.”
- Parents and guardians: Host informational sessions, explain benefits and risks, and provide regular updates.
- Students: Invite student-led discussions and build AI projects into learning experiences.
- Administrators: Focus on how AI can support staff and students, and invest in training.
- Educators: Provide lesson plans, resources, and room to experiment safely.
- School board members: Offer briefings on benefits, ethics, and implementation strategies.
- Community members: Share updates through local media and create ways to participate.
- Library staff and patrons: Offer workshops and resources so the broader community can build AI literacy.
This matters because AI isn’t only an instructional issue—it’s also a community issue. Families want to know how student work is assessed, what tools are allowed, and how student data is protected.
Ethics and Data Privacy: Where Schools Must Be Extra Careful
DPI strongly emphasizes that ethical considerations and privacy protections must be built into every stage of AI use. Today’s AI systems can contain bias and inaccuracies because they’re trained on large datasets that reflect real-world inequities and errors.
Schools don’t need to “solve AI bias” to start using AI responsibly—but they do need to teach staff and students how to spot bias, question outputs, and mitigate harm.
Key policy and practice areas highlighted in the guidance include:
- Responsible acceptable use policies
- Code of conduct and academic integrity policies
- Digital citizenship standards and curriculum
- Transparency and consent
- Copyright policies and citation guidelines
- Digital equity and student access policies
- Compliance with FERPA and COPPA
- Vendor compliance and ongoing monitoring
For schools, one practical starting point is to review existing policies and add AI-specific language—especially around what tools are approved, what data can be entered, and how AI use should be disclosed (by staff and by students).
Security and Infrastructure: The “Unseen” Work That Makes AI Safer
Even the best AI policy won’t work if the infrastructure can’t support safe implementation. DPI outlines essential components districts should review, such as:
- Restricting access to student data to authorized personnel
- Removing personally identifiable information (PII) from datasets
- Defining retention periods for student data
- Staff training on student data privacy
- Maintaining a data breach response plan
- Investing in high-speed internet and scalable storage
- Ensuring AI tools work with existing LMS platforms
- Prioritizing accessibility standards for all learners
This is also where equity becomes real. If AI-enhanced learning requires fast internet, newer devices, or paid subscriptions, districts need a plan to ensure students aren’t divided into “AI haves” and “AI have-nots.”
Professional Development: 5 Pillars Schools Can Use Right Away
DPI emphasizes that professional development is not optional—AI changes quickly, and educators need ongoing support. The guidance outlines five training pillars:
- Understanding AI and machine learning basics
- Integrating AI into subject areas
- Hands-on AI experiences
- Collaboration and networking
- Continuous learning and adaptability
It also points educators to practical learning resources and platforms, including:
- Google AI for Education
- Microsoft Learn for Educators
- TED-Ed AI resources
- Google AI Experiments
- Machine Learning for Kids
- TensorFlow Playground
- ISTE AI in Education
For district leaders, a helpful mindset is: train for confidence, not perfection. Start with foundational literacy and clear boundaries, then expand as staff skills grow.
Curriculum and Pedagogy: AI Literacy Across Grade Spans
DPI recommends building AI literacy in developmentally appropriate ways:
- Elementary: Use real-world examples, engage families, and build early critical thinking about AI-generated content.
- Middle grades: Teach independent, responsible use across disciplines—math, social studies, ethics, and more.
- High school: Help students use AI as a learning partner and, where appropriate, learn how AI systems are built and evaluated.
Across all grade levels, the goal is to help students understand ethical use and the benefits AI can offer: creativity, collaboration, access, critical thinking, and research.
Monitoring and Continuous Improvement: Make AI a “Living” Practice
AI integration isn’t a one-and-done rollout. DPI recommends districts continuously monitor and improve by tracking:
- Usage data: How often tools are used, how they’re used, and by whom
- Bias indicators: Whether outputs or recommendations disadvantage certain groups
- Privacy safeguards: Whether data is anonymized and secured properly
And evaluating:
- Learning outcomes: Performance, engagement, and critical thinking growth
- Teacher feedback: Workflow impact and classroom dynamics
- Student surveys: Satisfaction, perceived gains, and concerns
DPI also offers practical implementation advice: start small, focus on specific goals (like personalized learning or early intervention), and collaborate with educators, students, and parents.
Where TinyEYE Fits in the Conversation
As schools explore AI, it helps to separate “automation” from “support.” In student services—especially areas like speech-language therapy and mental health supports—relationships, trust, and professional judgment matter deeply.
AI can assist with organization, documentation workflows, and learning supports, but it should not replace qualified professionals or reduce student support to a set of outputs. The DPI’s human-centered framing aligns with what we see in practice: the best outcomes come when technology expands access while keeping people at the center.
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