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Bad Alchemy: Turning Estimates Into Fraud

Client Alert | less than 1 min read | 02.08.06

Building on comments at the Nash & Cibinic Roundtable, David Bodenheimer challenges the oxymoronic trend of government agencies and qui tam whistleblowers to assert defective pricing or false claims based upon second-guessing poor estimates. In his article "'False' or 'Inaccurate' Estimates" published in the December 2005 Briefing Paper (http://www.crowell.com/pdf/Expertise/GovtContracts/BriefingPapers_Bodenheimer.pdf), he explains that estimating -- due to its inherently risky and predictive nature -- requires judgmental forecasts long recognized as appropriate by government pricing guidelines and not suitable for defective pricing and fraud suits complaining about bad estimates of future events.

Insights

Client Alert | 4 min read | 03.25.26

NAIC Intensifies AI Regulatory Focus: What Health Insurance Payors Need to Know

The National Association of Insurance Commissioners (NAIC) is intensifying its oversight of how insurers use AI — and the pace of regulatory activity shows no signs of slowing. Over the past several months, the NAIC has published a formal Issue Brief staking out its position on federal AI legislation, launched a multistate AI Evaluation Tool pilot aimed at examining insurers’ AI governance programs, and continued to expand adoption of its AI Model Bulletin across state lines. These developments continue a trend towards enhancing regulation; the NAIC adopted AI Principles in 2020 and a Model Bulletin in 2023 clarifying that existing insurance laws apply to AI systems and establishing expectations for governance, documentation, testing, and third-party oversight. That Model Bulletin has now been adopted in approximately 24 states....