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AI-Assisted Sourcing: Boolean Search Optimization

reading · M1 · 15 min

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Analyzing Your Own Workflows: Where Could Bias Hide?

reading · M2 · 15 min

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Avoiding Generic or Manipulative Messaging

reading · M3 · 15 min

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Case Studies: High-Stakes Decisions and How to Handle Them

reading · M4 · 15 min

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Consent and Transparency: What Candidates Need to Know

reading · M5 · 15 min

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Data Minimization: Collecting Only What's Necessary

lesson · M6 · 15 min

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Data Privacy Fundamentals: GDPR, CCPA, FCRA, and Regional Requirements

lesson · M7 · 15 min

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Debrief Support: Synthesizing Panel Feedback

lesson · M8 · 15 min

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Decision Rules: Explicit Criteria for Escalation

reading · M9 · 15 min

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Diversity and Bias in Sourcing: How AI Can Help and Harm

lesson · M10 · 15 min

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Documenting Decisions: Clear Records for Legal and Fairness Review

lesson · M11 · 15 min

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Fairness Interventions: Blind Reviews, Structured Processes, Diverse Panels

lesson · M12 · 15 min

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Gender, Age, Disability, Race, and Socioeconomic Bias in Recruiting

reading · M13 · 15 min

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Handling Sensitive Topics with AI: Rejections, Feedback, Concerns

lesson · M14 · 15 min

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Hands-On Project: Audit a Recruiting Process for Privacy Risks

lesson · M15 · 15 min

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Hands-On Project: Audit a Recruiting Workflow for Bias

lesson · M16 · 15 min

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Hands-On Project: Conduct a Structured Interview with AI-Assisted Prep

reading · M17 · 15 min

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Hands-On Project: Design a Communication Campaign with AI Support

lesson · M18 · 15 min

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Hands-On Project: Design a Sourcing Workflow with AI and Guardrails

lesson · M19 · 15 min

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Hands-On Project: Develop Decision Rules for Your Recruiting Process

lesson · M20 · 15 min

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Interview Preparation: Candidate Research & Structured Question Generation

lesson · M21 · 15 min

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Judgment Calibration: Building Intuition about AI Confidence

lesson · M22 · 15 min

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Multichannel Communication: Email, LinkedIn, Mobile, Video

lesson · M23 · 15 min

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Personalization at Scale: When AI Enables Better Communication

lesson · M24 · 15 min

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Research Synthesis: Building Candidate Context from Multiple Sources

lesson · M25 · 15 min

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Retention and Deletion: Reasonable Timelines and Clean Data Practices

lesson · M26 · 15 min

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Sources of Bias: Data, Algorithms, Humans, and Systemic Factors

reading · M27 · 15 min

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Stakeholder Engagement: Communicating Risk and Uncertainty

lesson · M28 · 15 min

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Structured Evaluation: Avoiding Halo Effects and Confirming Bias

reading · M29 · 15 min

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Third-Party Tools and Vendors: Due Diligence and Contracts

lesson · M30 · 15 min

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Verifying Candidate Information: Spotting Hallucinations and Inaccuracies

reading · M31 · 15 min

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Visible and Hidden Bias: What Stands Out and What's Subtle

reading · M32 · 15 min

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