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    Lesson 2 of 5

    AI-Powered Recruitment & Hiring

    From the course AI for HR & Recruitment

    Recruitment is where AI delivers the most immediate value in HR — faster screening, better job posts, and more consistent evaluation.

    Writing Better Job Descriptions

    AI can transform generic JDs into compelling, inclusive job posts:

    "Rewrite this job description to: (1) lead with impact and growth opportunities, not just requirements, (2) remove gendered language and unnecessary requirements that may discourage diverse candidates, (3) clearly distinguish must-have from nice-to-have qualifications, (4) include salary range and benefits, (5) keep it under 600 words."

    Common issues AI catches:

    • Gendered language ("rockstar," "ninja," "manpower")
    • Unnecessary requirements ("10 years experience" for a mid-level role)
    • Jargon that excludes career changers
    • Missing information candidates care about (remote policy, salary, growth)

    Resume Screening

    AI can process hundreds of resumes in minutes:

    1. Define your criteria: must-have skills, preferred experience, deal-breakers
    2. Feed resumes to AI with a structured prompt
    3. AI scores and categorizes candidates
    4. Human reviews AI recommendations, especially borderline cases
    5. Move top candidates to the next stage

    Important safeguards:

    • Don't rely solely on keyword matching — strong candidates may describe skills differently
    • Audit AI screening decisions for demographic bias regularly
    • Keep the "maybe" pile generous — AI should filter out clear mismatches, not make close calls
    • Never use AI to screen based on protected characteristics

    Sourcing Candidates

    AI helps find passive candidates:

    • "Based on this job description, what skills and keywords should I search for on LinkedIn?"
    • "Write a personalized outreach message for a senior engineer currently at [company type] who might be interested in [role]"
    • "Generate 5 different outreach angles for reaching passive candidates for this role"

    Interview Question Generation

    Create structured interview questions:

    "Generate a behavioral interview question bank for a [role] position. Include:

    • 5 questions assessing [core competency 1]
    • 5 questions assessing [core competency 2]
    • 3 questions assessing culture fit
    • 2 questions assessing problem-solving For each question, include what a strong answer looks like and red flags to watch for."

    Interview Scorecards

    "Create a structured interview scorecard for [role]. Include evaluation criteria, a 1-5 rating scale with descriptors for each level, and space for notes. Ensure criteria are job-relevant and measurable."

    Structured interviews with scorecards are proven to reduce bias and improve hiring quality.

    Candidate Communication

    AI drafts communications at every stage:

    • Application acknowledgment emails
    • Interview scheduling messages
    • Rejection emails (kind, specific, encouraging)
    • Offer letters
    • Follow-up and check-in messages

    "Write a rejection email for a candidate who made it to final rounds but wasn't selected. Be warm, specific about what impressed us, and encourage them to apply for future roles. Don't be generic."

    Key Takeaways

    • •AI transforms job descriptions by removing bias, leading with impact, and improving inclusivity
    • •Resume screening with AI should filter clear mismatches — keep humans for close calls
    • •Structured interview questions with scorecards reduce bias in evaluation
    • •AI-generated candidate communications save time while maintaining a positive experience
    • •Always audit AI screening for demographic bias and protected characteristic filtering
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