Faculty/Staff Search

OR

Department/Unit Search

  1. Home
  2. Using AI
  3. AI Do's & Don'ts

AI Do's & Don'ts

Responsible Use of Generative AI at Western University

✅ Do use AI to support your work, leveraging it as a tool to enhance productivity while maintaining human judgment and expertise.

❌ Don’t rely on AI to fully take over tasks that require critical thinking, ethical considerations, or nuanced decision-making.

 ✅ Do balance AI with human creativity. Use it for brainstorming and drafting but ensure originality and personal input in the final work.

❌ Don’t let AI dictate the creative process. Avoid blindly accepting AI-generated content without refining it with your own insights.

✅ Do use AI to improve efficiency by automating repetitive tasks like summarizing notes or drafting low risk emails.

❌ Don’t use AI as a substitute for human expertise in areas requiring deep reasoning, emotional intelligence, or complex problem-solving.

✅ Do verify AI-generated content to ensure accuracy and reliability before using it in your work.

❌ Don’t assume AI is always correct. Always fact-check outputs, as AI can generate errors or misleading information.

✅ Do use AI as a tool to assist in decision-making by providing data-driven insights.

❌ Don’t delegate high-stakes decisions such as hiring or policy-making entirely to AI without human oversight.

✅ Do disclose AI use when appropriate, especially in research and formal documents.

❌ Don’t use AI without informing your team if it plays a significant role in your work.

✅ Do check for bias in AI outputs to avoid perpetuating stereotypes or discrimination.

❌ Don’t assume AI is free from bias. AI models are trained on human data and can reflect existing prejudices.

 

Security

✅ Do be respectful of privacy by safeguarding personal, proprietary, and confidential data.
Western's Data Classification Standard

❌ Don’t input confidential or sensitive data into public AI tools, as they may store or share information in ways that compromise security.

✅ Do evaluate AI tools for reliability, security, and compliance before integrating them into your workflow.

❌ Don’t bypass institutional approval when implementing AI solutions. Ensure they align with university policies and data protection standards.