Do’s and Don'ts
AI can support your learning, research and work — but it is up to all of us to use it ethically, securily and responsbily.
Do's
Make AI work for you — the right way
- Define Clear Objectives — be clear about what you want to achieve and choose the right AI tool for your goal.
- Start Small — begin with a pilot or single use case and build from there.
- Use High-Quality Data — ensure data is accurate, relevant, unbiased, and properly prepared.
- Test and Refine — regularly test AI outputs and adjust based on feedback.
- Address Ethical Considerations — be mindful of privacy, security, bias, and transparency.
Don'ts
Avoid common pitfalls
- Rely Solely on AI — AI should not replace human judgment.
- Ignore the Human Factor — consider people affected and provide proper training and support.
- Assume AI is a Silver Bullet — AI is not a magical solution and has limitations.
- Overfit the Data — avoid relying on small or biased datasets.
- Neglect Data Privacy and Security — do not use sensitive data without approval and follow AUC data protection policies.
Key Principles
- Be Ethical
- Be Secure
- Be Responsible
- Be Informed