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One registration covers the whole series, live or recorded. Sept 24 to Nov 6, 2026.
A plain-language starting point for AI in HR.
Everyone is being asked to use AI at work, but most HR teams haven't been given a clear explanation of what it is or where it fits. This first session of our AI in HR and People Ops series covers the basics, with no jargon and no sales pitch.
Pilar Muner, ChartHop's VP of People and Talent, explains the handful of AI terms you'll hear most, the difference between an assistant, an agentic action and an agent, and why some AI answers change each time you ask. She also walks through a short demo and shares a simple way to sort HR tasks by risk, so you know where AI helps and where a person should stay in charge.
Part of a four-session series
This is Session 1 of 4. Register once to join the rest of the series live, or catch each recording here afterwards.
- HR is behind the rest of the business on AI.
According to SHRM's State of AI in HR 2026 report, 62% of organizations use AI somewhere, but only 39% use it in HR. More than half don't involve HR in their AI strategy at all. - A few words go a long way.
Once you know the handful of terms vendors use, it gets much easier to tell what a tool actually does and to ask better questions. - Not all AI is the same kind of tool.
Some AI finds information, some writes, and some checks work. Knowing which one you're using helps you decide how much to trust the output. - Sort your HR tasks by risk.
Low-risk tasks like drafting and summarizing are a strong fit. Anything that affects someone's pay, job or record needs a person reviewing the result. - Ask vendors the right questions.
Before you buy, ask where your data goes, who can see what, and how the tool handles mistakes. The session includes five questions you can take into any demo.
- Why HR is being asked to do more with AI, and where it stands today
- The six AI terms worth knowing
- Three kinds of AI: the librarian, the writer and the editor
- Assistant vs. agentic action vs. agent
- A short demo
- Which HR tasks are a good fit for AI, and which need judgment
- Five questions to ask any vendor
- Live Q&A
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