Tutorials Prompt Engineering Tutorial
AI Bias — Complete Guide
AI Bias — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 74 of 100
AI Bias
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 8: Prompt Security & Ethics
What is this?
AI bias is systematic unfairness — often from training data or sloppy prompts that proxy for protected attributes.
Why should you care?
PromptVerse HR prompts forbid inferring demographics and score only job-relevant skills from explicit rubric.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
SYSTEM: Score resume against JD skills only.
Never infer age, gender, ethnicity, or nationality.
If JD skill missing from resume, score 0 for that skill — do not guess.
Output: { skills_match: [], score: 1-10, evidence_quotes: [] }What happened?
- Explicit prohibitions and evidence_quotes force grounding in resume text — reduces hidden demographic proxies.
- Follow the steps below — typing the code yourself is the fastest way to learn.
Practice next
- Audit one prompt for demographic inference risk.
- Add rubric tied to JD skills only.
- Test on synthetic resumes differing only in name.
- Blind resume fields before prompt.
- Log score distribution by source channel.
Remember
Rubric on job skills only. Forbid demographic inference. Bias test with paired resumes.
Fair screening
Legal reviews HR copilot.
Outcome: Rubric + prohibitions pass initial bias review.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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