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
March 2026
Digital leaders across the public, private and non-profit sectors face a shared challenge: how do we harness the transformative power of artificial intelligence while ensuring it is safe, responsible, and delivers real value. In Defence, that question is not theoretical. It is operational, strategic and […]
February 2026
Recently I attended a House of Lords session on government technology reform and AI adoption. The discussion followed familiar patterns. Procurement constraints, talent development, modernisation imperatives, until one leader cut through with a simple challenge: “We must imagine what ‘different’ could look like.” The […]
February 2026
Securing our information and our technologies has become critical in this shifting and uncertain geopolitical context. Even more so as we contend with the sheer computing power of quantum, and what this in turn means for our national security. Of course, the need to keep […]
February 2026
Financial wellbeing is emerging as an unexpected battleground as traditional banks fight to retain market share from agile, data-centric neobank rivals. When Joanna Finlay, Inclusive Transformation Lead at Sopra Steria, joined Northern Rock on the day of the infamous 2007 bank run, she witnessed billions of […]
February 2026
While AI coding assistants dramatically lower the barrier to building software, the true shift lies in the move toward “disposable code”, where the traditional value of a permanent codebase is replaced by a landscape of rapid prototyping, security risks, and the evaporation of intellectual property […]
February 2026
With the remarkable speed at which AI is moving, it’s important to be reminded that action alone isn’t strategy. True AI success requires balancing agile delivery with deep analysis, long-term governance, and experienced judgment. A few weeks ago, I found myself in a heated discussion […]
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