AI Guidelines for a Course on Emerging Topics in Technology and Operations

  • Tim Laseter
    Professor of Practice
    Darden School of Business

Tim Laseter is a professor of the practice at the UVA Darden School of Business. He teaches a course on emerging topics in technology and operations, and generative AI is one of those emerging topics. He embeds AI guidelines in a variety of places in his first-day-of-class onboarding for students.

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Generative AI Policy:

  1. I encourage you to learn how to leverage this new technology as you prepare to advance your career.
  2. Do not break copyright laws by uploading materials to an application.
  3. Do double check the output (especially numbers) provided by the GenAI as hallucinations remain common.
  4. My grading expectations are now higher for Low and Standard Pass though unaltered for HP and DP.
  5. Finally, using the technology inappropriately or without notification qualifies as an honor code violation.

Speaker Questions Using GenAI:

Prior to each session, please provide 2 thoughtful questions you hope the speaker can address. The speaker may answer them through their presentation or you may need to raise them in class. Typically, I will share the questions submitted when I meet with the speaker over dinner prior to the class day. My goal is to help them understand what is in the mind of their audience rather than to short-circuit the natural flow of the session. The remaining questions will be shared at 11 am on the day of the class session.

  • First Question crafted on your own after absorbing the assigned materials for the session as indicated in Canvas
  • Second Question developed in collaboration with a GenAI tool with multiple, iterative prompts with final editing by you. Simply provide the final output question without the steps needed to achieve it

Exam You Create:

The exam exercise in the age of AI highlights the evolving role of critical thinking, problem-solving, and adaptability in modern assessments. Rather than simply recalling information, students and professionals must analyze, synthesize, and apply knowledge in ways that AI cannot fully replicate. AI enhances learning by providing instant insights, automating routine tasks, and enabling data-driven decision-making, but human judgment, creativity, and ethical reasoning remain essential. The exercise underscores the need to blend AI tools with human expertise, ensuring that technology augments rather than replaces intellectual engagement.

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