Your team finished the unconscious bias training. Checked the box. Then the new AI hiring tool quietly filtered out candidates from the same zip codes your inclusion strategy spent three years trying to recruit from. Nobody meant for that to happen. That is exactly the problem.

Most organizations still treat "responsible AI" and "diversity, equity, and inclusion" as two departments that have never had a real conversation. That gap is where bias lives now: not in a training slide, but in the model nobody audited, the agent nobody assigned a human owner to, the vendor contract nobody asked the hard questions of.

This session is for people who are past DEI 101 and ready for the harder, less comfortable work: building AI governance that actually protects the people your equity commitments were meant to protect. We will cover how to bias-test an AI system before it ever touches a hiring, lending, or service decision, why every AI agent needs a named human owner instead of a policy binder, and the exact procurement questions that expose a vendor's blind spots before you sign.

Bring your hardest AI equity question. We won't pretend it has an easy answer, but we'll build you a real one.

People First. AI Second. Impact Always.

Target audience: DEI leaders, HR and people leaders, and responsible AI or compliance practitioners who are past DEI 101 and ready to connect equity work to AI governance.

What you will need: a laptop to save the bias testing checklist and procurement questions we walk through. A phone is fine to bring too, but a laptop is what you will actually use. A charger is smart, outlets in session rooms can be limited. No software, accounts, or installs required.