AI in HR University
At a glance
| Time commitment | Who it’s for | What you’ll walk away with | Program structure |
|---|---|---|---|
Approx. 2.5 hours total | HR leaders, HRBPs, and People & Talent leaders at growing companies (1–250 employees). | A clear, HR-ready AI playbook and the confidence to use AI to make faster, fairer, better-informed people decisions. |
Training Modules
Module 1: Understanding AI bias in HR
This 45-minute module is your foundation. You’ll unpack what AI actually is, how different narratives shape the way we trust it, and where bias creeps into HR systems. The focus is practical: seeing bias not as an abstract concept, but as an ongoing responsibility in every people decision.
Learning Objectives
By the end of this module, you will be able to:
- Define AI and articulate the different narratives that shape how we understand and use it in HR.
- Define AI bias and identify how it shows up in HR systems across the employee lifecycle.
- Distinguish between key types of bias in AI applications and understand why they matter for fair people decisions.
- Recognize the real-world impact of biased AI on hiring, promotions, performance, and long-term career trajectories.
- Explain why bias detection is critical for responsible, ethical AI implementation—and why it’s not a one-time project.
Module 2: Implementing responsible AI in HR
This 50-minute module is designed for HR teams at SMBs who are already using AI in everyday workflows—or want to. You’ll move from “we should be careful with this” to a clear, practical approach for making ethical decisions about AI based on trust, fairness, and human values, not just a compliance checklist.
Learning Objectives
By the end of this module, you will be able to:
- Explain the five pillars of ethical AI in everyday HR work: Fairness, Transparency, Privacy, Safety, and Reliability.
- Spot common fairness traps and identify how they show up in tools like your HRIS, ATS, engagement platform, and survey tools.
- Apply a simple ethical decision-making framework (ART: Accountability, Responsibility, Transparency) to real HR scenarios.
- Practice using AI responsibly through realistic situations your HR team is likely to encounter.
- Create lightweight “ethical AI guardrails” for your HR team that are practical, actionable, and don’t require a formal governance function.
Module 3: Practical ChatGPT & AI tools for HR
This 50-minute module focuses on the tools you’re already curious about—like ChatGPT—and shows you how to get real value from them. You’ll learn how these systems actually behave, how to structure strong prompts, and how to roll out AI in HR in a way that feels safe, measurable, and sustainable.
Learning Objectives
By the end of this module, you will be able to:
- Explain in practical terms how ChatGPT and similar tools work as probability engines, not human reasoning systems.
- Use the CIFT prompt formula (Context, Instruction, Format, Tone) to structure effective prompts for real HR work.
- Apply five core prompting techniques—Role Assignment, Few-Shot Examples, Knowledge Blocks, Chain-of-Thought, and Context Stacking—to common HR tasks.
- Design small, low-risk AI pilots within specific HR workflows and scale them thoughtfully to team-level use.
- Measure the impact of AI on time savings, quality, and adoption, and outline a simple six-month roadmap for AI-enabled HR.
