5 Tips For Addressing AI in Your Academic Integrity Code

As AI in education advances, schools need to update their policies to address the challenges and opportunities this new technology brings. Rather than a doomsday device, generative AI — when used ethically — can ease the lives of students and teachers.

Here are 5 recommendations for educators updating their academic integrity policies in the age of AI.

1. Leverage existing frameworks. Don’t reinvent the wheel!

Organizations like International Baccalaureate and Elsevier, universities, and colleges have developed reliable frameworks for using AI in education. Starting from scratch doesn’t make sense, so consider their guidance when writing your school’s AI policy.

If your school follows the International Baccalaureate or College Board-sanctioned curricula, you must follow their recently updated guidelines. If your school doesn’t mind either curriculum, you can get directions from the MLA and APA citation guidelines. Quote them in your policy, and rely on the work of reputed organizations.

2. Tailor AI policies for your school

When updating your school’s or district’s academic integrity policy to address AI, you’ll want to consider what makes the most sense for your students and teachers.

There is no universally agreed-upon set of hard-and-fast rules for exactly what is and isn’t ethical when using AI in education. One teacher might think using AI to proofread an essay is cheating, while another teacher might fully support it. So, choose what works for your school or district’s needs, values, and goals.

3. Provide training and support on AI

As a school community, your administration should provide workshops and professional learning opportunities about artificial intelligence for staff and students so everybody knows what to expect.

Training and support on ethical AI usage can delve into these specific areas:

• Identifying bias in AI systems and data. Awareness of potential biases in AI tools and datasets is crucial to ensuring fair and inclusive use. Workshops can equip educators and students with strategies for critically evaluating AI outputs and addressing potential biases.
• Safeguarding privacy and data security. Generative AI and assistive technology often require access to personal data. Workshops can educate participants on data privacy best practices.
• Integrating AI tools into existing curricula. Educators can benefit from training on integrating AI tools into lesson plans and assignments across diverse subjects. This includes exploring the pedagogical potential of AI for personalized learning, collaborative activities, and creative expression.

If you provide training and support on using AI, you can foster a culture of responsible use and continuous learning that will empower teachers and students alike.

4. Embrace the ever-evolving nature of AI in education

Make sure your policy is reviewed regularly, at least once per year. If the sudden boom of AI in education has taught us anything, technology is only accelerating. More and more powerful AI tools will emerge in the coming years. Your policy should be ready to adapt to these massive shifts in how we do things.

Here are some specific tips for making your policy more flexible:

• Avoid using specific examples of AI tools or technologies in your policy. Instead, focus on broad principles that apply to any AI tool.
• Avoid making sweeping generalizations about AI. Instead, focus on specific concerns that you have about the use of AI in education.
• Be open to feedback from students, teachers, and other stakeholders.

5. Shift your focus from AI policing to growth-oriented assessments

While relying on AI detectors to monitor student behavior might seem tempting, they often prove to be more trouble than they’re worth. Inaccurate and intrusive, these technologies are best avoided as a policing tool.

Instead, let’s focus on designing assessments that foster learning and measure progress, not just outcomes.

When we prioritize growth instead of just focusing on results, we develop assessments that are naturally more resistant to academic dishonesty. This approach promotes a more positive learning environment and yields more meaningful insights into student development.

Read more on Carnegie Learning’s blog: https://www.carnegielearning.com/blog/academic-integrity-ai-in-education/