10 min read
In high-stakes applications, AI often struggles to maintain its performance levels. With certain techniques and approaches, however, we can build AI systems that can continuously learn and adapt on the job. One key to AI’s revolutionary potential...
6 min read
AI adoption has accelerated in insurance in recent years, with 77% of insurers indicating they are at some stage of adopting AI in their value chain. At the same time, AI regulations worldwide are becoming more defined, and these regulations will...
7 min read
AI's potential to drastically enhance the insurance industry is extraordinary and undeniable, with McKinsey estimating AI could add up to $1.1 trillion in annual value for the global insurance industry. But just as AI's potential is beyond question,...
6 min read
On July 31st 2024, the Consumer Duty came into effect for both open and closed products, with far-reaching implications for any organisation offering a financial service or product in the UK. This includes the insurance industry, and insurers must...
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...
14 min read
Around the world, at least 69 countries have proposed over 1000 AI-related policy initiatives and legal frameworks to address public concerns around AI safety and governance. Here’s what those AI regulations look like at the beginning of 2025...
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...
