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Teaching & Learning Center: 2025 Mitigate Bias in AI

Use this guide as a central hub to all the Professional Development tracks CPTC has to offer

Equitable AI: Strategies to Mitigate Bias in AI

To use these prompts in an assignment, students are initially asked to use AI to analyze a question, an issue, or topic. It might be an ethical issue, a thesis the student might be working on, or a general topic. Each of the questions can be asked of the author of the initial prompt (student) or the AI. The student is encouraged to use the prompt in italics as a follow-up question to the initial analysis, and then use the bulleted questions to refine their own thinking about the AI response.

Bias Detection Prompt

Bias Detection Prompt

“AI-generated responses might contain biases. What assumptions do you notice in the response? What perspectives might be missing?”

  • Does the AI response favor a particular viewpoint over others?
  • What historical, cultural, or systemic biases might influence this response?
  • How would someone from a different background or perspective challenge this answer?

Logical Consistency & Contradiction Prompt

Logical Consistency & Contradiction Prompt

“Does the AI’s response remain logically consistent? Can you find any contradictions within the text?”

  • Does the answer contradict itself in any way?
  • How does this response compare with AI’s answer to a related question?
  • What logical fallacies, if any, are present in the AI’s reasoning?

AI Self-Correction Prompt

AI Self-Correction Prompt

“If we ask the AI to critically assess its own response, what flaws might it identify?”

  • Can the AI recognize its own limitations in answering this question?
  • If we prompt the AI to revise its answer to be more neutral or fact-based, how does it change?
  • Does the revised response improve upon the original, or does it introduce new issues?

Fact-Checking & Source Verification Prompt

Fact-Checking & Source Verification Prompt

“How can we verify the accuracy of the AI’s response? What credible sources can we cross-check it with?”

  • What independent sources confirm or contradict this AI-generated information?
  • Is there any misleading information, omission, or exaggeration in the response?
  • How would an expert in this field evaluate the AI’s answer?

Data & Contextual Limitations Prompt

Data & Contextual Limitations Prompt

“What gaps exist in the AI’s knowledge about this issue or problem? What data might be missing or outdated?”

  • Does the response rely on generalizations or outdated information?
  • What additional data or expert analysis would strengthen or weaken this answer?
  • If this information were used in a real-world decision, what risks might arise from its potential inaccuracies?

“What If” Testing for Robustness Prompt

“What If” Testing for Robustness Prompt

“If this AI response were used in a high-stakes situation (e.g., medicine, law, policy), what consequences could arise?”

  • How would this answer hold up in a court of law, academic debate, or policy meeting?
  • What happens if we apply this response in a different country, industry, or scenario?
  • If real human lives depended on this information, how would we improve its reliability?

Alternative Perspectives Prompt

Alternative Perspectives Prompt

“If we asked a different AI model or an expert about this issue, how might the answer change? What are some counterarguments?”

  • What alternative interpretations exist for this response?
  • How would this answer change if it were written from the perspective of another culture, profession, or ideology?
  • Are there historical cases where similar reasoning led to incorrect conclusions?

Ethical & Fairness Evaluation Prompt

Ethical & Fairness Evaluation Prompt

“What ethical concerns arise from the AI-generated response? Who might be affected by these biases?”

  • Does this response reinforce stereotypes or exclude important voices?
  • Could this answer be harmful if used in real-world applications?
  • What ethical guidelines should be followed when using AI-generated content?

Multi-Perspective Prompting for Accuracy

Multi-Perspective Prompting for Accuracy

“Let’s compare different viewpoints. How would AI’s answer change if asked from the following perspectives?”

  • Scientific vs. Political vs. Public Opinion
  • Global South vs. Global North Perspective
  • Historical vs. Contemporary Viewpoints
  • Industry Expert vs. General Public Understanding

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