Ask Before You Automate: An ethics-first checklist for evaluating AI in HR

How should HR evaluate an AI tool before it touches hiring or pay decisions? This session gives HR leaders an ethics-first checklist for answering that question before anyone signs a contract. The session walks through the questions to ask about where an AI tool's data comes from, how it reaches a recommendation, who reviews its output, and who answers for the outcome when it gets something wrong. You'll see where bias and privacy gaps tend to hide in AI for recruiting and performance management, and how to test for them during vendor evaluation. The discussion applies real-world ethics scenarios to the AI tools HR teams buy today. You'll leave with a checklist you can use in your next AI purchase or policy re  view, plus clear language for explaining AI risk to your Finance and IT partners.

This webinar is brought to you by Paylocity and is eligible for 1 SHRM and 1 HRCI recertification credit.

Key Objectives:

• Apply an ethics-first checklist to evaluate an AI tool for HR use, covering data sources, decision logic, human oversight, and accountability for outcomes.
• Identify where bias and privacy risk most often enter AI-assisted hiring and performance decisions, along with the vendor questions that expose them before purchase.
• Define human review points and ownership for each AI-supported HR process so a named person answers for every automated recommendation.