AI for HR and People
HR business partners, recruiters, people operations and anyone who writes policies, job ads or onboarding material
Prerequisites: Module 101 (AI at Work 101) or your platform's 101 module (01 Claude 101, 201 Gemini 101, 301 ChatGPT 101, 401 Copilot 101), and Module 02 (How to Prompt)
Last verified 2026-09-17
Learning objectives
- Write a role brief that produces a usable job ad and interview kit in one pass
- Draft a policy from a decision list, then rewrite it in plain language with a tracked change log
- Produce onboarding material that matches the team's actual first week
- Apply the sensitive-data boundary: candidate and employee data never in a consumer plan
- Run a structured bias check on ads, kits and policies, and know what it cannot catch
What's in this module
6 lessons · 5 exercises · ~7 min reading
Starts withWhere the boundary sits~2 minExecutive summary
You will learn how to turn a role brief into a job ad and an interview kit, draft and plain-language a policy, build onboarding material, and run a bias check on all of it, without ever pasting a candidate or employee record into the wrong place. End state is one job ad and interview kit from a real vacancy, one policy rewritten in plain language with a change log, and a written boundary for what people data goes where. After this module you can do this work on Claude, Gemini, ChatGPT or Copilot, and explain to a colleague why the boundary is where it is.
Sources
- Anthropic Privacy Center, "How do you use personal data in model training?", the consumer-plan setting and the commercial-plan exclusion: https://privacy.claude.com/en/articles/10023555-how-do-you-use-personal-data-in-model-training
- Gemini Apps Help, "Gemini Apps Privacy Hub", how personal-account chats are used and reviewed: https://support.google.com/gemini/answer/13594961
- Google Workspace Admin Help, "Generative AI in Google Workspace Privacy Hub", the Workspace commitment not to train on customer data without permission: https://knowledge.workspace.google.com/admin/gemini/generative-ai-in-google-workspace-privacy-hub
- OpenAI Help Center, "Data Controls FAQ", the personal-plan training toggle and the pointer to business-plan controls: https://help.openai.com/en/articles/7730893-data-controls-faq
- Microsoft Learn, "Data, privacy, and security for Microsoft Copilot", no training on tenant data and the permission model: https://learn.microsoft.com/en-us/copilot/microsoft-365/microsoft-365-copilot-privacy
Prefer the live room?
This module also runs inside our in-person bootcamps and workshops in Copenhagen.
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