FREE · LIVE · 30 MINUTES
How AI bias turns into a discrimination claim.
Your clients are using AI to screen job applicants, assess students, and decide who gets care or housing. This is a straight briefing on the claims those decisions are producing, what US regulators now require, and what the case law shows.
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What the litigation shows.
We'll walk through real litigation from Testudo's own lawsuit data to show how "consequential decisions" made by biased models are becoming a liability event, and where the controls that reduce that exposure actually sit.
In this webinar, we'll cover:
- 01How models surface bias, and how discriminatory events emerge
- 02Real cases across education, healthcare, employment, housing, and government services where AI-driven decisions triggered discrimination claims
- 03How emerging US regulation on "consequential decisions" increasingly mandates disclosure and human-review standards
Testudo's policy excludes discrimination claims of any kind. That is exactly why this is a briefing rather than a pitch. Brokers are being asked about this exposure, and the information should exist regardless of who insures it.