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Insurance Law

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Research Frontiers in Algorithmic Underwriting and Discrimination Law

Analysis of fair lending principles and anti-discrimination statutes applied to machine learning-based insurance underwriting systems.

Proxy Discrimination in Automated Risk Scoring Systems
Algorithmic Opacity and Insurance Contract Formation
Disparate Impact Doctrine in Machine Learning Underwriting
Explainability Requirements and Insurable Interest Standards
Algorithmic Bias in Actuarial Fairness and Regulatory Compliance
Black Box Underwriting and Duty of Good Faith Disclosure
Protected Class Inference Through Alternative Data Proxies
Algorithmic Redlining in Coverage Availability and Pricing
Regulatory Arbitrage Between Insurance and AI Governance Frameworks
Algorithmic Transparency in Claims Denial and Consumer Rights

All Insurance Law PhD categories