The Mind Foundry Blog

Discover the latest articles on Artificial Intelligence and Machine Learning.

Responsible AI

5 min read

Insuring Against AI Risk: An interview with Mike Osborne

When used by malicious actors or without considerations for transparency and responsibility, AI poses significant risks. Mind Foundry is working with partners to explore how the insurance industry can help provide protection from these risks.

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14 min read

AI Regulations around the World - 2025

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...

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Mind Foundry blog index

13 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.

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Designing for Deployment Feature Image

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,...

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Why AI isn't the Answer to Every Data Problem Title Image

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...

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How Do Machines Learn? title image

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...

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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...

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How Machine Learning Models Fail Title Image

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....

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What makes a Machine Learning model ‘trustworthy’?

7 min read

What Makes a Machine Learning Model 'Trustworthy’?

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...

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3 min read

Explaining AI Explainability

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...

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5 min read

The Power to Do Good with AI

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...

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Explainable AI

3 min read

Making AI Explainable in the UK Public Sector

Mind Foundry hosted 'Defining Ambitions: The Future of AI in Public Sector', an invaluable virtual learning exchange for the public sector. Delivered in partnership with GovNewsDirect, the session's objective was to explore the possibilities for AI...

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News, announcements, and blogs about AI in high-stakes applications.