Educator Responsible AI Use

Educators play a critical role utilizing AI in their classroom, modeling responsible use of AI, and shaping how students learn to understand and engage with AI. Paramount in these efforts is how students are evaluated. Proctoring assessments in a controlled environment will help ensure that students continue to learn core classroom material. Handwritten essays and exams, for example, avoid risks of AI-generated student output and ensure students are progressing through key educational milestones.

As the National Educators Association has pointed out, students and educators, not technology, are the core of the learning experience. Technology, AI or otherwise, is not a substitute for real-time instruction with educators and interaction with peers. Technology use must be evidence-based, and must be ethically and equitably deployed.

Educators have the  opportunity to model effective AI use for students within this framework. UNC Chapel Hill offers several areas where educators can apply AI to assist their work, including lesson and exam preparation. However, these materials should be reviewed by educators, who ultimately are responsible for anything generated by AI. Within this framework, educators can:

  • Assess when not to use technology, including  AI, and only use technology where it is genuinely additive and evidence-based.
  • Disclose and cite use of AI to students.
  • Tactically introduce AI in the classroom through discrete, specific assignments. 
    • For example, providing sample prompts to students to generate practice math problems or see a model of a chemical process and ask questions.
    • These examples should be geared toward students based on their maturity.
  • Vet AI-generated or online curricular and lesson plans for accuracy prior to use.
  • Work with administrators to evaluate AI tools on a continual basis.
  • Understand the data privacy policies for the AI tool and ensure sensitive student or school information is not passed into AI tools.
  • Avoid the sole use of AI in evaluating students’ work without clear educator input and feedback.