AI Do's & Don'ts
Responsible Use of Generative AI at Western University |
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✅ 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. |
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✅ 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. |
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✅ 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. |
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✅ 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. |
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✅ 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. |
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✅ 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. |
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✅ 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 |
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✅ Do be respectful of privacy by safeguarding personal, proprietary, and confidential data. |
❌ Don’t input confidential or sensitive data into AI tools, as they may store or share information in ways that compromise security. |
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✅ 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. |
