451
learners
23
lessons
100-150 hours
duration
Lifetime
access
FREE
price
▶
AI-Assisted Interview Preparation, Scheduling, and Synthesis
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AI in Candidate Communication and Engagement
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AI in Job Distribution, Sourcing, and Resume Screening
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AI in Recruiting: Realistic Capabilities and Common Use Cases
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Avoiding Automation Bias: Staying Active and Skeptical
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Bias and Fairness Risks in AI-Assisted Recruiting
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Building Confidence to Question and Override AI
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Building Trust in AI-Assisted Recruiting: Transparency and Oversight
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Compliance Risks and Legal Exposure
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Defining AI, Machine Learning, NLP, and LLMs in Plain Language
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Emerging Tools, Trends, and the Evolving Landscape
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Ethical Frameworks for Recruiting AI Decisions
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Hallucinations, Accuracy Errors, and Information Loss
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How AI Can Perpetuate or Amplify Bias
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Privacy as a Candidate Right and Organizational Responsibility
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Privacy, Data Security, and Candidate Trust Risks
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Recognizing When AI Has Crossed a Line: Case Studies in Failure
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Responsibility and Accountability in AI-Assisted Decisions
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The Hype Cycle and How to Think Critically About AI Claims
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What Fair Hiring Looks Like: Structured Processes and Consistency
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What AI Cannot Do: Hallucinations, Limitations, and Failure Modes
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AI for Recruiting Curriculum
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Where Humans Remain Essential: Judgment, Context, and Nuance
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about this course
Use AI responsibly and strategically across recruiting and talent acquisition workflows.
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