Understanding the AI Reality

Before developing policies or programs, educators need to understand what is actually happening with AI in their schools. Most institutions operate with significant gaps between their official policies and the reality of daily AI use by students and staff.

The AI reality in schools

Students are already using AI extensively. The question is not whether to allow it, but how to guide its use productively.

What students are doing

Widespread behaviors:

• Using ChatGPT and similar tools for writing assistance
• Getting help with math problems and explanations
• Researching topics and generating summaries
• Translating and language learning support
• Creating study guides and flashcards

Less visible behaviors:

• Using AI to understand difficult concepts
• Getting personalized tutoring outside class
• Bypassing traditional plagiarism detection
• Collaborating with AI on creative projects
• Using AI for code assistance in CS classes

The detection challenge

Traditional plagiarism detection tools struggle with AI-generated content:

• Detection tools have high false-positive rates
• AI output varies significantly based on prompts
• Students can easily modify AI output to avoid detection
• Detection arms race is fundamentally unwinnable

This reality should inform policy design.

Understanding AI capabilities

What current AI can do

Strong capabilities:

• Generate coherent, grammatically correct text
• Summarize and synthesize information
• Explain concepts at different levels
• Answer factual questions
• Assist with brainstorming and outlining
• Provide feedback on writing

Limitations:

• Accuracy is inconsistent, especially on specific facts
• Cannot verify its own claims
• No understanding of current events beyond training
• Struggles with complex reasoning chains
• Cannot replace genuine learning and skill development

The educational implications

AI is a tool that amplifies both good and bad practices:

• Strong students can use AI to learn more deeply
• Struggling students may use AI to avoid learning
• The difference is in how AI is integrated into instruction

Assessing your current state

Student survey considerations

Understanding student behavior requires honest data:

• Anonymous surveys yield more truthful responses
• Ask about behaviors, not just policies
• Distinguish between types of AI use
• Explore motivations and perceived benefits

Key questions:

• Which AI tools have you used for schoolwork?
• How often do you use AI for different types of assignments?
• What do you find AI most helpful for?
• What concerns do you have about using AI?

Staff awareness assessment

Evaluate where staff currently stand:

• Familiarity with AI tools and capabilities
• Confidence in identifying AI-assisted work
• Current approaches to AI in their classes
• Training needs and interests

Policy gap analysis

Compare stated policy to actual practice:

• What does current policy say about AI?
• How consistently is policy enforced?
• What ambiguities exist in current policy?
• Where do students and staff lack clarity?

The generational perspective

Student perspectives

For many students, AI is a natural tool:

• They grew up with digital assistants
• AI feels like a more capable search engine
• Distinction between “cheating” and “using tools” is unclear
• They see AI as leveling the playing field

Parent perspectives

Parents have varied views:

• Some encourage AI use for competitive advantage
• Others worry about learning fundamentals
• Many do not understand what AI can do
• Communication with parents is essential

Educator perspectives

Teachers face real challenges:

• Assignment design requires rethinking
• Grading becomes more complicated
• Some feel their expertise is threatened
• Others see opportunities for better teaching

Risk categories

Academic integrity risks

• Submission of AI-generated work as original
• Unequal access to AI tools
• Erosion of foundational skill development
• Difficulty distinguishing student capability

Safety and privacy risks

• Students sharing personal information with AI
• Exposure to inappropriate content
• Data collection by AI providers
• Lack of age-appropriate guardrails

Equity risks

• Students with AI access outperform those without
• Quality of AI interaction varies with resources
• Digital divide extends to AI literacy
• Differential enforcement of policies

Moving toward solutions

This week establishes the foundation. Effective policy requires:

• Honest assessment of current reality
• Understanding of AI capabilities and limitations
• Recognition of diverse stakeholder perspectives
• Acknowledgment of legitimate competing concerns

The following weeks build on this foundation with specific policies, training programs, and governance structures.

Key takeaway

You cannot govern what you do not understand. Before developing AI policies, invest in understanding what is actually happening in your institution. Anonymous surveys, honest conversations, and observation of actual practice provide the baseline needed for effective policy development.