Frequently Asked Questions

An AI policy for education is a set of guidelines that defines how artificial intelligence tools (like ChatGPT, Claude, and other generative AI systems) can be used in academic settings. It establishes boundaries between acceptable assistance and academic misconduct, addresses data privacy concerns, ensures equity, and provides a framework for faculty and students to navigate AI use responsibly.

Without clear AI guidelines, institutions face inconsistent enforcement of academic integrity standards, confusion among faculty and students, and potential legal or ethical issues. A comprehensive AI policy provides clarity, protects academic integrity, ensures compliance with institutional values, promotes equitable access to AI tools, and creates a framework that can adapt as technology evolves.

Using our AI Policy Generator, you can create a comprehensive, customized policy in just 5-10 minutes. You'll answer a series of questions about your institution's needs, and our system will generate a complete policy document that you can review, download, and implement immediately. Traditional policy development can take months of committee meetings and revisions.

The generated policy provides a comprehensive framework based on proven practices from leading institutions. However, we recommend reviewing it with your institution's stakeholders (faculty, administrators, legal counsel) and making any necessary adjustments to align with your specific context, existing policies, and institutional culture before final implementation.

Absolutely! The generated policy is delivered as a PDF and via email, which you can edit using any document editor. We encourage customization to ensure the policy perfectly fits your institution's unique needs, values, and existing governance structures. Think of it as a comprehensive starting point rather than a rigid template.

Our AI Policy Generator is designed for education institutions of all types including universities, colleges, K-12 schools, community colleges, and professional schools. The principles and frameworks can be adapted for corporate training programs or any educational setting where AI tools are used.

While we analyze policies from leading institutions, our generator creates customized policies based on YOUR institution's specific needs, values, teaching philosophy, and concerns. Rather than a one-size-fits-all approach, you receive a policy tailored to your context, whether you're a university, K-12 school, community college, or any other educational institution.

The policies cover generative AI tools broadly, including large language models (ChatGPT, Claude, Gemini), image generators (DALL-E, Midjourney), code assistants (GitHub Copilot), and other AI-powered tools. The policies are written to be tool-agnostic and principle-based, so they remain relevant as new AI technologies emerge.

Generated policies include comprehensive sections on academic integrity that distinguish between acceptable AI assistance (brainstorming, editing, research) and academic misconduct (submitting AI-generated work as original). They emphasize transparency, disclosure requirements, and the importance of developing authentic learning and critical thinking skills.

Yes! Best practice is for institutions to establish broad principles at the university level while granting faculty autonomy to determine specific AI use guidelines for their courses. Our policies support this approach, encouraging professors to include course-specific AI guidelines in their syllabi within the framework of institutional values.

Generated policies address data privacy by establishing guidelines for what information can be shared with AI tools, emphasizing compliance with FERPA and other privacy regulations, and recommending caution with sensitive or confidential information. They also address institutional responsibility for providing secure, approved AI tools when possible.

Our policies include provisions ensuring that AI policies don't create unfair advantages or disadvantages. This includes considerations for students with disabilities who may benefit from AI assistance, addressing the digital divide in access to AI tools, and ensuring policies don't disproportionately impact certain student populations.

We recommend reviewing AI policies at least annually, as the technology evolves rapidly. The policies we generate include language about regular review and update cycles. Some institutions may need more frequent updates during periods of rapid AI advancement or after significant incidents that reveal policy gaps.

The generated policies include guidance on consequences for violations, typically aligned with existing academic integrity frameworks. The emphasis is on education and clear communication rather than punitive measures, especially as students and faculty are still learning to navigate AI tools appropriately.

No! Well-designed AI policies should encourage responsible innovation while protecting academic integrity. Our policies strike a balance between preventing misuse and promoting beneficial AI applications in education. They emphasize transparency, critical thinking, and using AI as a tool for enhancement rather than replacement of learning.

Our generator is built on analysis of AI policies from leading institutions worldwide. While we don't publish their specific policies (to respect their intellectual property), our system incorporates best practices, effective language, and proven frameworks that have worked successfully at peer institutions.

Yes! The AI Policy Generator is completely free to use. We believe that all educational institutions should have access to quality resources for developing AI governance frameworks, regardless of budget constraints.

We take privacy seriously. The information you provide in the questionnaire is used solely to generate your customized policy. We may analyze aggregate, anonymized data to improve our service, but we don't share individual institutional information or generated policies with third parties.

Yes! You can use the generator as many times as needed to create different policy versions, test different approaches, or generate policies for different contexts (institutional vs. syllabus-level, for example). Each generation is independent and customized to the information you provide.

The generated policy includes implementation guidance and best practices. For additional support, we recommend engaging stakeholders early, providing training sessions for faculty and students, creating supporting resources (FAQs, examples), and establishing clear channels for questions and concerns during rollout.