4 min read
The 8-Step Guide to Deploying Machine Learning in Infrastructure
The adoption of AI and Machine Learning is complex, and attempting it in civil engineering can feel daunting. This guide outlines the 8 steps required to make it a success.
Responsible AI
6 min read
The Impact of UK and EU AI Regulations on Insurers
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...
4 min read
Aioi R&D Lab - Oxford in 2024
One year into its mission to solve global-scale societal issues through the creation of products and services powered by AI technologies, the Aioi R&D Lab - Oxford is breaking barriers in global collaboration, driven by a commitment to the...
6 min read
AI Regulations around the World
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...
12 min read
All of Mind Foundry's Blogs
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.
4 min read
Why Is Explainability Important in Insurance Pricing?
As an industry driven by data and complex algorithms, the insurance sector stands at a crossroads where transparency and explainability in pricing models are becoming more than just best practices—they're becoming imperatives. As the tools and...
5 min read
AI in Defence: Designing for Deployment
With its unparalleled ability to extract insight from burdensome volumes of raw data, AI is more than an opportunity to innovate. Nevertheless, this doesn’t make it the answer to every problem involving data. Even when applied to the right problems,...
5 min read
Why AI Isn’t the Answer to Every Data Problem
We have previously spoken about how AI is more than just an innovation opportunity, despite contrary prevailing wisdom. It can already solve real and complex problems in various challenging environments, with sonar signal processing in the maritime...
5 min read
How Do Machines Learn? Meta-learning as an Approach
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
5 Ways to Manage AI Responsibly in Insurance
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,...
6 min read
Humans vs AI: The Trust Paradox
Why do we expect more from machines than we do from each other? We lean on machines for so much, yet when it comes to judging their performance, we seem to have a double standard. A human can fail, time and time again, and still be forgiven. But...
4 min read
How Machine Learning Models Fail
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....