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Sample lessonAI Fundamentals for HR 15 min

HR AI Tools: What to Use and When

Map the key AI tools to specific HR tasks and understand the data handling requirements that determine which tools are appropriate for which HR contexts.

In practice: Job description first draft: 2 hours → 5 minutes

Your version of this lesson adapts to your role. After the 3-minute assessment, examples, scenarios, and exercises are tailored specifically to your job function and experience level.

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The HR Tool Landscape

HR's AI toolkit is smaller and more carefully governed than in some business functions. The primary tools — Claude, ChatGPT, Copilot — all have their place, but the question of what data you can use with each is as important as what they can do.

Claude for HR

Claude's strengths in HR:

  • Long-form policy document drafting and review
  • Nuanced communication drafting (offer letters, feedback frameworks, sensitive policy explanations)
  • Analysing long employee survey datasets for themes
  • Producing thoughtful, carefully worded content where tone matters

Claude's tendency toward careful, hedged language makes it well-suited to HR contexts where precision and sensitivity matter.

ChatGPT for HR

ChatGPT strengths in HR:

  • Creative job description writing and employer branding content
  • Interview question generation across role types
  • Learning content creation (quiz questions, training module outlines)
  • Repurposing HR communications across channels

Microsoft Copilot for HR

For HR teams in Microsoft 365:

  • SharePoint: summarise policy documents, generate FAQs
  • Word: draft policies, letters, guides
  • Excel: identify patterns in anonymised HR data, generate formulas
  • Teams: summarise meeting notes from HR review meetings

The Critical Data Rule for HR

Employee data is among the most sensitive categories under GDPR:

  • Never paste identifiable employee data into consumer AI tools
  • Always use anonymised or synthetic data for AI analysis
  • Only use AI tools approved under your organisation's data processing agreements for any internal HR data
  • Check your DPA (Data Processing Agreement) before using any AI tool with HR data

Tools to Treat with Extra Caution

Any "AI hiring tool" that promises to screen, score, or rank candidates should be evaluated for bias risk, explainability, and regulatory compliance before use. These tools carry the highest risk of discriminatory impact and are subject to increasing regulatory scrutiny.

Key Takeaways

  • Claude excels at nuanced, carefully worded HR communications and policy documents
  • ChatGPT is strong for creative job descriptions, interview questions, and learning content
  • Microsoft Copilot integrates with existing HR workflows in Microsoft 365
  • Employee data is a sensitive category under GDPR — never paste identifiable employee data into consumer AI tools
  • AI hiring tools that screen or score candidates carry the highest risk and require careful bias and compliance assessment

Before you practise

What is one specific task in your current role where you could apply what you just learned?

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