Teaching & Learning
- The material is presented as a starting point for instructors exploring beneficial educational uses
- AFIT provides educator-facing guidance that generative AI can be integrated into learning environments and classrooms, but the provided source text does not set a student-use rule or requirement for study assistance
AFIT is proud to highlight the Generative AI Teaching Guidebook, a resource designed to provide military educators with practical insights, strategies, and use cases for integrating Generative AI (Gen AI) into their teaching practices.
Developed through a collaborative effort involving AFIT faculty across various departments within the Graduate School of Engineering and Management and the School of Systems and Logistics, this digital resource serves as a starting point for educators exploring how to leverage Gen AI in their classrooms.
The guidebook provides a comprehensive overview of how Gen AI can enhance education, offering actionable use cases, illustrative examples, and best practices tailored to diverse teaching environments.
The main objective of this work was to bring together various perspectives on how to envision incorporating Gen AI capabilities into the learning environment and identify some best practices for their implementation.
While the examples have a wide range of applicability, they are meant to serve as a starting point for educators to explore what would be beneficial to their educational environment, from traditional classroom settings to online continuing education courses.
Research
- AFIT's provided source text states that the guidebook addresses ethical considerations and data privacy in educational use of generative AI
- However, the sources do not define a research-specific AI ethics or integrity policy for proposals, IRB materials, or scholarly compliance documents
The guidebook provides a comprehensive overview of how Gen AI can enhance education, offering actionable use cases, illustrative examples, and best practices tailored to diverse teaching environments. By addressing both opportunities and challenges—such as ethical considerations and data privacy—it empowers educators to design meaningful learning experiences while fostering discussions about AI's potential and limitations.
By fostering critical thinking, innovation, and ethical awareness, the Generative AI Teaching Guidebook empowers educators to prepare students for an AI-driven world while advancing AFIT’s defense-focused educational mission.
Academic Integrity
Institutional & Administrative
- AFIT explicitly provides faculty-focused guidance encouraging educators to explore generative AI in teaching practice
- The provided source text frames the guidebook as a practical resource and starting point for instructors, but it does not impose mandatory rules for grading, feedback, recommendation letters, or administrative uses
AFIT is proud to highlight the Generative AI Teaching Guidebook, a resource designed to provide military educators with practical insights, strategies, and use cases for integrating Generative AI (Gen AI) into their teaching practices.
Developed through a collaborative effort involving AFIT faculty across various departments within the Graduate School of Engineering and Management and the School of Systems and Logistics, this digital resource serves as a starting point for educators exploring how to leverage Gen AI in their classrooms. It offers accessible examples and best practices, ensuring utility for instructors of all technical backgrounds.
The main objective of this work was to bring together various perspectives on how to envision incorporating Gen AI capabilities into the learning environment and identify some best practices for their implementation. Any instructor who is interested in these capabilities but does not necessarily have a technical background can find pragmatic use of the examples provided.
While the examples have a wide range of applicability, they are meant to serve as a starting point for educators to explore what would be beneficial to their educational environment, from traditional classroom settings to online continuing education courses.
- AFIT’s Generative AI Teaching Guidebook explicitly prohibits entering sensitive data into generative AI platforms
- While the guidebook discusses data privacy as a general challenge, it does not provide a list of institutionally approved or prohibited AI platforms
- Specifically, it states that classified, CUI (Controlled Unclassified Information), or PII (Personally Identifiable Information) must never be entered
A key element for educators and students to remember is that most public Gen AI tools (e.g., ChatGPT, Midjourney, DALL-E) are not secure. This is a significant risk when using Gen AI tools, as any information entered into the system could be stored and used for training future models. For DAF members, this poses a risk to operational security... Never enter any classified, CUI, or PII into a Gen AI platform.
- AFIT has published a generative AI teaching guidebook that serves as an institutional resource to help educators consider AI adoption in teaching
- In the provided source text, this is presented as practical guidance and a starting point for implementation rather than a formal university-wide governance framework, committee charter, or AI strategy policy
AFIT is proud to highlight the Generative AI Teaching Guidebook, a resource designed to provide military educators with practical insights, strategies, and use cases for integrating Generative AI (Gen AI) into their teaching practices.
Developed through a collaborative effort involving AFIT faculty across various departments within the Graduate School of Engineering and Management and the School of Systems and Logistics, this digital resource serves as a starting point for educators exploring how to leverage Gen AI in their classrooms.
The release of this guidebook comes at a key moment as the adoption of Gen AI in education accelerates.
This 12-page article serves as a distillation and content summary of the AFIT Generative AI Teaching Guidebook.
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Air Force Institute of Technology's AI Policies
Air Force Institute of Technology has defined AI policies in 5 of 12 categories, with an overall coverage score of 42%.
No explicit disclosure requirement is currently defined in the available policy sources.
No explicit detection or enforcement process is currently defined in the available policy sources.
AFIT’s Generative AI Teaching Guidebook explicitly prohibits entering sensitive data into generative AI platforms. Specifically, it states that classified, CUI (Controlled Unclassified Information), or PII (Personally Identifiable Information) must never be entered. While the guidebook discusses data privacy as a general challenge, it does not provide a list of institutionally approved or prohibited AI platforms.