Ethical Considerations for Educators:
Ensure AI is used as a support tool, not a replacement for teacher judgment.
Be mindful of potential biases in AI outputs, as models learn from existing datasets, which may contain societal prejudices.
AI Bias and Limitations:
AI models can inadvertently reinforce biases present in training data.
They may lack cultural sensitivity, making it important to review outputs before use in teaching.
AI can sometimes produce misleading or incorrect information, necessitating fact-checking.
Data Privacy and Security Best Practices:
Do not input sensitive student data into AI tools.
Use AI platforms that comply with privacy regulations (e.g., GDPR, NZ Privacy Act).
Educate students about responsible AI use, including understanding data sharing implications.
School Policies on AI (if applicable):
Ensure AI tools align with school technology policies.