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In a previous article, we discussed how the recently launched Aioi R&D Lab - Oxford was tackling the problem of ageing populations by using insurance telematics data and AI to detect the risk factors indicating cognitive decline in elderly drivers. As ageing population dynamics around the world continue to shift, projects like this can create shared value in society by enabling older safe drivers to maintain their freedom with access to affordable insurance products. This article explores how current projects in the Lab are exploring two technologies that are not well-understood but can be hugely valuable in the future: Quantum Computing and Large Language Models.

At the beginning of 2023, we announced the launch of the Aioi R&D Lab - Oxford, a joint venture between Mind Foundry and our partners Aioi Nissay Dowa Insurance (ANDI) and Aioi Nissay Dowa Europe (AND-E). One of the projects the Lab is currently working on is to solve a problem affecting countries with ageing populations, like Japan and the United Kingdom. 

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, to those who believe it could be the crowning achievement of all humankind. Between those two extremes are numerous reasons for optimism and many valid concerns about AI safety and how to use LLMs responsibly across many different sectors. Much of this hinges on ‘transparency’, ‘interpretability’, and ‘explainability’.

We interviewed Professor Steve Roberts, Co-founder at Mind Foundry and Professor at the University of Oxford, and invited him to share with us how he explains the meanings of these three terms to his students.

In February 2023, we announced the launch of the Aioi R&D Lab - Oxford, a joint venture between Mind Foundry and our partners Aioi Nissay Dowa Insurance (ANDI) and Aioi Nissay Dowa Europe (AND-E).  This is the first of its kind research lab, so naturally you may be thinking… What is it exactly? In this article we’ll tell you all you need to know.

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 opportunities to positively impact problem-solving, decision-making, and efficiency. 

One of the most prolific to date, ChatGPT, has shown just how quickly advanced technology can arrive in the mainstream and capture the imaginations of experts and laypeople alike. This tool is just the latest step in a long and continuing line of advances in using AI to generate text. Its capabilities, which span everything from explaining quantum physics to writing poems, have sparked debates about the opportunities it could create and the impact it could have on the future of work.

We’re delighted to announce that we won a prestigious CogX award in the “Best Innovation in Explainable AI” category last night.

Decisions made by governments and other public sector organisations affect the lives of large numbers of people in profound ways every day. If considerations for ethics and responsibility are not made during the processes for designing, building, and implementing a solution with AI, unintended and unanticipated far-reaching consequences can be felt.