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 it’s not enough for a machine to consistently outperform a human - it has to be nearly flawless. Why is this? And is this the right approach?
Generative AI (GAI) has been firmly at the centre of discussion ever since it was popularised by the launch of ChatGPT in November 2022. Although the insurance sector, with its focus on cost, has generally reacted with interest and excitement to the advent of Generative AI and Large Language Models (LLMs), there are limitations to the technology that represent significant obstacles to industry-wide adoption.
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 in-depth research paper highlighting the key aspects of machine learning governance. This 4-part blog series summarises some of the key points from that paper to give a flavour of the most pressing problems in AI governance and some of the solutions that Mind Foundry are developing to solve them.
Generative AI has exploded into the public eye, with the conversation focusing on the opportunities and risks it presents. However, in the Defence sector, there are specific challenges and problems that this technology is simply not suited to solve.
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.
The International Day of Women and Girls in Science, supported by the UN, is a fantastic opportunity to acknowledge the inspirational contributions of women across the globe in science and technology, who continue to break down stereotypes and pioneer gender equality in a traditionally male-dominated industry. We have the chance to inspire and encourage girls and women of all ages, backgrounds and abilities to discover their potential within science and become leaders in an exciting and innovative field.
To celebrate this important day, we are proud to showcase some of the extraordinary women at Mind Foundry who are making significant contributions to science and technology as they share their journeys so far and the advice they would give to others. Including:
Poppy, a Lead Research Scientist at Mind Foundry, leading the Defence & Security delivery teams to develop innovative solutions to complex problems.
Hannah, the Chief of Staff to the CEO at Mind Foundry, where she interacts with all aspects of the business from partnership building, sales operations, marketing, and strategy, with an additional focus to drive alignment.
Alessandra, a Senior Research Scientist at Mind Foundry, with a PhD in probabilistic Machine Learning and on a mission to push the boundaries of AI by integrating software solutions and original research.
Harriet, a Project Manager at Mind Foundry, where she is responsible for managing a portfolio of Machine Learning projects in the Insurance sector and Product Manager of The Mind Foundry Academy.
Mind Foundry recently 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 innovation within public services. It is fair to say that many organisations are only just beginning to use AI and machine learning; although growing, the number of organisations that rely on it as a core part of their operations is still relatively small, but those that do are drastically outperforming their peers. So, what does the future of AI hold in public sector organisations?
In June 2019, the government launched a call for evidence on the proposed framework of a strategy around data usage in the UK, receiving over 100 responses. At the same time, the government undertook a programme of roundtables, workshops, and webinars, to ascertain the parameters, objectives, and evidence supporting what would become the National Data Strategy.
When we consider the role of artificial intelligence in life sciences, it already has a proven track record as an effective tool to support pharmaceutical research. However, companies are also moving fast to explore the transformational impact it can have on their commercial operations, such as sales and marketing.
