As artificial intelligence evolves, it’s important to keep pace with change and develop a deep understanding on ways to use AI effectively, ethically and responsibly. Students can develop a toolbox of skills and knowledge to help them understand these powerful technologies.

Ground rules for your classes

Every class has a syllabus that tells you about the plan for learning and the professor’s expectations. In most courses, professors will also include rules for using AI. Read the syllabus carefully and if AI isn’t mentioned, ask the professor about it right away.

Expect that AI policies will vary between professors, courses and even by projects and class assignments. Some faculty members will encourage or even require you to use AI, while others will prohibit it. Those decisions are based on the learning goals for the course. Keep track of the policies for each course and assignment so you don’t get confused.

Apply the highest ethical standards when using AI

  • Originality: Ensure all work submitted is your own, representing your unique voice and ideas. When permitted, you can use AI tools for help but not to do the work for you, unless your professor says it’s okay to use AI in a specific way.
  • Acknowledgment and attribution: Follow your professors’ and your institution’s rules for acknowledging or citing AI use. If you’re uncertain, ask about it. The APA and MLA both provide guidelines for citing generative AI work.
  • Data security and safety: Remember that any information you share with an AI tool is no longer private and may be used in ways you can’t control. Guard your data vigilantly – never share sensitive, personal or confidential information about yourself, others or your organization with AI systems.

Learn about the ethical use of AI

Core principles to keep in mind as you navigate college in the AI era

  1. Know and follow Elon’s rules: Elon, its departments and individual faculty members have established AI policies and expectations designed to optimize your learning and growth. Understand these policies and be aware that they may change over time. If you’re uncertain, ask questions.
  2. Learn about AI: Everyone’s future professional and personal success will be influenced by AI systems. Learn how they work. Understand their strengths and weaknesses. Ask questions, be curious, try things, share what you know and learn from others.
  3. Do the right thing: Learn to use AI ethically. Ensure that the work you submit is truly your own. Properly disclose and cite how you use AI-generated content. Deepen your critical thinking skills and ability to evaluate AI-generated content and spot false information, biases and fake images, video and audio.
  4. Think beyond your major: AI brings together knowledge from all disciplines. Develop a multidisciplinary mindset and explore classes in a wide range of subjects. Develop strong skills in using, analyzing and communicating about data and consider getting certifications related to AI.
  5. Commit to lifelong learning: We are only at the beginning of the AI revolution. New tools and AI uses will continually emerge. Always be on the lookout for what’s next. Work collaboratively with your peers and mentors. Adopt a lifelong learning mindset.
  6. Prioritize privacy and security: Always remember that AI systems are not private; you have limited or no control over how your data will be used. Use only reputable platforms, understand the terms of service and share as little information as possible about yourself or others.
  7. Cultivate your human abilities: Deepen your empathy and social skills. Stay focused on building strong relationships and thriving in the non-digital world. Exercise your apps-free creativity. Keep your unique human talents sharp in an environment filled with AI interactions.

Read more:

Six generative AI tools to explore

(Note: Elon University does not have an agreement with most of the companies whose tools are listed below. Users who subscribe to these tools should be aware that their agreement is between themselves and the company.)

Examples of tools for image generation