Among the other projects that have already been undertaken at the institute are initiatives to create AI-powered air traffic control systems for UK airports, and digital twin systems in use by rail services and in aerospace design.

As with many research establishments in recent times, the institute, and Girolami, found their focus diverted to tackling challenges posed by the Covid-19 pandemic.

The starting point for this was a repurposing of work that was being carried out with the aim of monitoring and improving air quality in London. Video feeds and sensor loops that were being used to monitor footfall in areas where particulate levels were high were used to monitor compliance with lockdown and social distancing regulations, which then allowed authorities such as Public Health England and Transport for London to make interventions in order to improve rates of compliance, with the eventual aim of reducing the overall spread of infection. These interventions included widening footpaths and public throughfares, or moving bus stops when their locations contributed to bottlenecking and the build-up of large groups in close proximity to each other.

Moving on from that, Girolami tells me, "That's just one project the Turing Institute has played a role in over the last couple of years … what I’ll be doing in my first 100 days [as chief scientist] is looking to see what are the global grand challenges that would really benefit from world-leading expertise … from the data science and AI technologies.

“They will then form the ‘north star’ that will define everything we will do over the next five to 10 years.”

 So far, it’s fair to say that the UK has not done a great deal to establish itself as a global AI superpower. DeepMind, the London-based deep learning specialists responsible for creating the AI that beat a professional player of the board game Go, is probably the nation’s best-known achievement – and that group has been a subsidiary of Google since 2014.

The government’s plan is clearly to change that – with a slice of the $13 trillion that it’s predicted that AI will add to the global economy by 2030 being an obvious incentive.

Girolami tells me, "It's fantastic that the government has issued a national strategy, there's also going to be another AI strategy coming from the [UK] Ministry of Defence, so it’s absolutely clear that AI technology is going to be pervasive across the national landscape. It’s certainly welcome, and what you’ll find in the strategy is the ambition for the UK to be a technological powerhouse – that’s the phrase used – and that’s an ambition that I and the Turing Institute share."

He's also aware, however that technology is only a part of the solution. The institute will also be involved with the equally essential planning and thinking around ethical and regulatory issues that it's essential we as a society get right if we want to benefit from AI.

“It’s absolutely clear that this is something that all undergraduates should take a course in – the technology is the easy part … the structure, governance, legal aspects, ethical aspects, political aspects … these are the hard part. That's one of the reasons why at the Alan Turing Institute, we have programs on public policy, for example … how do we ensure the safety, ethical characteristics of AI programs and their deployments, how do we ensure privacy, security, provenance … are there inherent biases in the data that will then get propagated into the AI technology … I think that’s the big rock we need to get the sledgehammers at and keep working away at, and that’s how we’re going to see the big successes.”

You can click here to see my conversation with Mark Girolami, newly appointed chief scientist at the Alan Turing Institute, in full.