Actuarial Studies Advance Discussionon Bias, Modeling, and A.I.
The Casualty Actuarial Society (CAS) has added to its growing body of research to help actuaries detect and address potential bias in property/casualty insurance pricing with four new reports. The latest reports explore different aspects of unintentional bias and offer forward-looking solutions. The first – “A Practical Guide to Navigating Fairness in Insurance Pricing” – addresses regulatory concerns about how the industry’s increased use of models, machine learning, and artificial intelligence (AI) may contribute to or amplify unfair discrimination. It provides actuaries with information and tools to proactively consider fairness in their modeling process and navigate this new regulatory landscape. The second new paper — “Regulatory Perspectives on Algorithmic Bias…
Executive Exchange: Using Advanced Toolsto Drill Into Flood Risk
Analysis based on precise, granular data is key to fair, accurate insurance pricing – and is more important than ever before in an era of increased climate-related risks. In a recent Executive Exchange discussion with Triple-I CEO Sean Kevelighan, a co-founder of Norway-based 7Analytics discussed how his company’s methodology – honed by use in the oil and gas industry – can help insurers identify opportunities to profitably write flood coverage in what might seem to be “untouchable” areas. 7Analytics uses hydrology, geology, and data science to develop high-precision flood risk data tools. “We are four oil and gas geologists behind 7Analytics,” said Jonas Torland, who also is the company’s chief…
