Keep “humans in the loop”: humans should be involved at all stages of evaluation and decision-making when using generative AI tools for teaching and learning.
Confirm results: beware "hallucinated" information and do not assume accuracy, quality or completeness of AI generated content. Also, be aware that AI tools may not have access to the most recent information.
Emphasize discovery and experimentation: generative AI may be best suited to learning activities that call for exploration, where learners can generate content and then improve on it or investigate it for accuracy.
Be mindful of privacy risks: be sure to follow institutional policies and avoid using any personal data in interactions with generative AI tools.
Be mindful of bias: limitations in the information used to train language models used by AI tools may reinforce biases in generated content.
Consider assumptions: Generative AI is a hotly discussed topic, inspiring both fascination and fear. Make space to explore and address learner preconceptions about use of these tools.
Beware of Plagiarism: Plagiarism with generative AI is an ongoing concern without easy solutions. Plagiarism checkers may fail to detect AI-generated content or incorrectly flag original or adapted content. Consider addressing AI in academic integrity policies.
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