5 min read
Fraud is one of the most pervasive threats in the insurance industry. Insurance fraud is estimated to cost insurers £1.1 billion in the UK alone. As the cost of living has placed more people under significant financial pressure, authorities warn of...
4 min read
The complexity of modern pricing models, coupled with the regulatory changes that are due to come into effect this year, means that insurers need to start implementing proper AI governance. However, scaling this governance to span a business that...
6 min read
Insurance is an incredibly competitive industry. The sheer number of customers, competitors, and small margins make for an adversarial landscape. Pricing is like a microcosm of the insurance industry, with every insurer jostling for the attention of...
6 min read
This article will continue to evolve and change as new details and milestones around AI Regulations emerge. A history of these edits can be found at the end of the piece. In the last decade, we have witnessed the most significant progress in the...
5 min read
In the previous two blogs in the series, we addressed what makes machine learning models trustworthy and how machine learning models fail. This blog is focused on how machines learn and one particular approach called meta-learning, which enables...
3 min read
The integration of Artificial Intelligence (AI) and machine learning has already brought transformative opportunities across the rapidly evolving landscape of the insurance industry. As data generation has surged and competition intensified,...
4 min read
In our first blog in this four-part series, we discussed how Machine Learning (ML) models might be considered ‘trustworthy’, and we emphasised challenges in bias and fairness, the need for explainability & interpretability, and types of data drift....
7 min read
Last year, Mind Foundry worked closely with Professor Brent Mittelstadt (of the Oxford Internet Institute) to get a deeper understanding of the law, policy, and standards in development surrounding machine learning. The output of this work was an...
