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Before You Buy the AI: 10 Questions HR Needs to Ask (But Usually Doesn’t)
AI is now embedded across the hiring lifecycle, from sourcing and screening to interviews and decision support. Yet many HR and TA leaders admit they’re being asked to “move fast on AI” without clear guidance on how these tools work, how risk is evaluated, or how decisions can be defended when something goes wrong.
AI demos often focus on speed and efficiency while leaving deeper questions about bias, accountability, explainability, and compliance unaddressed. As regulatory scrutiny increases and candidate trust becomes harder to maintain, “the tool recommended it” is no longer a sufficient answer.
This session introduces a practical framework built around 10 critical questions HR leaders should ask before implementing any AI tool. These questions aren’t technical – they’re operational, ethical, and compliance-focused, designed to help teams evaluate real impact before adoption, not after consequences appear.
AI demos often focus on speed and efficiency while leaving deeper questions about bias, accountability, explainability, and compliance unaddressed. As regulatory scrutiny increases and candidate trust becomes harder to maintain, “the tool recommended it” is no longer a sufficient answer.
This session introduces a practical framework built around 10 critical questions HR leaders should ask before implementing any AI tool. These questions aren’t technical – they’re operational, ethical, and compliance-focused, designed to help teams evaluate real impact before adoption, not after consequences appear.
Learning Objective 1
Distinguish real hiring problems from vendor-defined ones.
Learning Objective 2
Make more confident, strategic AI decisions without needing deep technical expertise.
Learning Objective 3
Apply defensible evaluation criteria for bias testing, accountability, and decision transparency.
Access Type
Conference Pass