Generative AI is transforming the way we work and learn, and teach. I believe it is essential that students are equipped with the skills to use AI effectively. As a practical matter, AI is becoming a normal and increasingly important part of professional and educational work. Just as we would not consider teaching programming without a compiler, or writing without a word processor, we should not prepare students for modern intellectual work while ignoring AI. AI is a tool that can enhance learning and productivity, and it is my responsibility as an educator to ensure that my students are proficient and ethical in its use.

The use of AI raises important ethical and academic integrity concerns. It is crucial that students understand the ethical implications of using AI and that they use it responsibly. This includes understanding the potential for bias in AI-generated content, following any attribution or disclosure requirements established by the course or assignment, and critically evaluating AI-generated content for accuracy, reliability, and appropriateness.

In courses taught by me, the following will be taught and expected regarding the use of generative AI:

• Any and all generative AI tools may be used to assist with assignments, including (but not limited to) generating code, researching concepts, testing ideas, and drafting written material, except where an assignment specifically limits or prohibits their use.
  
  
• Generative AI will be taught and used ethically and responsibly, with a clear understanding of its capabilities and limitations.
  
  
• Most courses will require the use of generative AI for certain assignments, and students will be expected to demonstrate proficiency in its use. In these cases, the use of AI is no more optional than the use of a compiler or text editor.
  
  
• Generative AI is intended to facilitate learning, not replace it. You are expected to understand the work you submit—whether it was produced by you directly, by AI, or collaboratively. You must be able to explain, evaluate, test, correct, and modify your work at the level appropriate to the course. If you cannot demonstrate the knowledge and abilities represented by your submission when asked, then you have not demonstrated the intended learning and may receive reduced or no credit for that work.
  
  
• You are fully responsible for all work you submit, including work generated with the assistance of AI. If an AI-generated solution is incorrect, incomplete, inappropriate, or poorly reasoned, that responsibility—and the resulting grade—belongs to you. Production may be delegated; academic responsibility may not.
  
  
• Multiple techniques may be used during the semester to evaluate and verify understanding. Depending on the assignment, evidence may include the completed work, development or revision history, testing, documentation, intermediate work, explanations of reasoning, and the ability to explain, debug, modify, or extend submitted work. These requirements are part of the assessment of competence and may affect the grade even when the final artifact appears correct.

If you have any questions about the use of generative AI, please ask.