5 min read
The condition of our civil infrastructure is approaching a crisis point. We need AI to help us reverse the damage. Every individual, community, and society relies on built infrastructure to live, work, and move around. But as time progresses,...
5 min read
Building a performant model in insurance is one thing. Building, deploying, maintaining, and governing hundreds of models in production is another challenge entirely. AI is already integral to insurance and has been the driving force behind much of...
5 min read
Why end-user insight and operational context are the keys to understanding AI performance in the defence sector. In Defence and National Security, the scrutiny placed on AI systems and the bar for responsibility and accountability are heightened,...
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,...
7 min read
In the insurance industry, understanding and trusting the decision-making process of predictive models is essential. Historically, insurers used simple models that were easily explainable to regulators, but in recent years, as many models have...
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...
10 min read
Here are the blogs that Mind Foundry has written recently. We've separated them into their respective topics or sectors to help you find what you're interested in.
5 min read
AI is everywhere. It has rapidly become an integral part of how we organise our lives, go about our jobs, and get from place to place. And yet, in our discussions with customers, we often encounter a wide range of misconceptions about what AI...
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...
3 min read
There’s been a lot of talk about the development of large language models (LLMs) recently, with the loudest voices split between those who think it poses a significant risk to humanity and those who believe it could be the crowning achievement of...
5 min read
The past few months have shown us how quickly deep tech innovation, and especially advances in Artificial Intelligence (AI), can be developed and adopted at great scale. New AI tools have emerged at breakneck speed, opening up a range of...
