The emergence of AI has sparked discussions about both its regulation and its use to transform the regulation sector itself. Leaders should not view regulations as hurdles that stifle innovation. Instead, see them as guiding principles that promote responsible AI development. These frameworks can help ensure AI is used ethically, transparently, and with a focus on human well-being. This topic shows how, by embracing responsible AI development practices, leaders not only build trust with users and society at large, but also position themselves for long-term success.
A talk by Venu Botla
A talk by John Kimmance Managi
A talk by Brigid McBride Programme Director, Digital Change, Ofsted
July 2025
A collaboration between the UK’s Bedfordshire Police and Amazon Web Services (AWS) resulted in rapid deployment of high-impact, cloud-based solutions that free up officer and staff time and resources. This has helped officers to better serve communities and victims. Based on cloud technology, the model […]
July 2025
In a time of rising inflation, growing consumer debt and increasing financial vulnerability, the UK financial sector is undergoing a quiet but profound transformation. At the heart of this shift lies a redefinition of financial health – one that extends beyond credit scores and profit […]
June 2025
It’s taken a while. But in the last few days the UK government has released details of is spending review and priorities for the next few years. While it is a broad and complex document, in looking at the details I’m struck by what appears […]
June 2025
The two best known AI agents that have been released by major developers are Operator by OpenAI and Manus by a Chinese startup called Butterfly Effect. Those with an OpenAI Pro account (cost: $200/month) can trial Operator, while Manus has recently become available to the general public. Platforms […]
May 2025
With the massive hype around AI, public service leaders could be forgiven for seeing AI as a quick solution to service delivery challenges. However, simply introducing new tools does not guarantee a smooth path to better outcomes. In our rush to capture value from AI, […]
May 2025
The problem There is no doubt AI is advancing fast. Governments are backing it, companies are racing to adopt it, and investment is booming. But despite the excitement, we are seeing growing numbers of failures – often serious ones. These failures are not due to […]
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