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 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?
The webinar follows the research study produced with GovNewsDirect, which collated the responses of more than 300 organisations to analyse how AI is being incorporated into business strategies to improve internal and external public services. We sought to understand how well AI is being utilised and maximised within the public sector space – what’s working, what isn’t and why. Results showed a notable lack of understanding and training around AI within public sector teams – which is perhaps expected but reflects the vast number of opportunities being missed. This is the context of where the webinar discussion began.
Joined by a panel of AI experts
We were delighted to welcome an expert panel of speakers, each bringing their own unique and fascinating experience of working at the forefront of AI. Spearheaded by GovNewsDirect’s Public Sector Director, Mark Blanchard, guest panellists included:
Key topics we explore and investigate:
KNOWLEDGE – is the depth of knowledge of AI and automation in public sector detrimental to progress?
AMBITION – what role does AI play in the future of innovation, efficiency, and greater decision-making in public services?
IMPACT – how are AI tools already being utilised in public sector? Are these processes ethical? Are there any pain points?
BENEFITS – what can public sector organisations do to implement AI responsibly?
Listen in to engaging conversation
Brian Mullins, CEO at Mind Foundry: “When you look at the power machine learning has to understand data and look for opportunities, what sets it apart from other technologies is how quickly it can do what it does. It scales decision making. If you are to improve something with those decisions then you’ll improve them at scale very quickly, which is amazing. But if you make a mistake, and you propagate that mistake just as quickly, it can have extremely detrimental effects. That’s why the issue of explainability is so important. I’ll go one step further and say when it’s used in the public sector there’s a different standard that needs to be met.”
Giles Herdale, Advisor for the NCA, NPCC and College of Policing: “In my experience in the policing and justice sector, in my experience explainable AI is definitely more of an aspiration than a reality at this point in time. That said, the use of advance analytics is developing rapidly in the sector but from quite a low level of maturity. And so, the important issues to do with that are how to build the audit and governance into that process. Ultimately policing and justice is around high stakes decision making, which has definite and long-lasting effects on individuals whether those be offenders, suspects or victims and witnesses. It is vital that policing can account for decisions that are being made and has to do so both legally through the courts and justice system, but also importantly to the public, because the duty of policing in the UK is by consent. Policing has a duty of transparency and accountability in order to explain what it’s doing and why it’s doing it and be able to justify those decisions against a legal framework.”