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
November 2025
Perhaps the most important change I have seen in the last couple of years is how digital technology has moved from the sidelines to the core of company business models. So much so that it now defines how they operate. More and more, our society […]
November 2025
Every December, I like to take a moment to reflect on the pace of change in our digital world—and every year it seems to move faster. This year, with the rise of transformative AI across every sector, the opportunities have never been greater. That’s why, […]
November 2025
Government used to value open source. The Technology Code of Practice stipulates: “Be open and use open source. Publish your code and use open source software to improve transparency, flexibility and accountability.” But where have we ended up? A department builds something new (all too […]
October 2025
The UK government’s embrace of digital identity represents more than just a technological upgrade. It should be seen as a strategic pivot toward an AI-enabled future. The vision is clear: create a digital infrastructure that can support more sophisticated AI applications across both public and […]
October 2025
When developing complex Artificial Intelligence systems, the decision-making processes can often become opaque and turn into “black boxes,” even for the engineers and data scientists who build them. As a result, it can be difficult to understand why a model has made a particular decision, […]
October 2025
I expect you’ve heard this analogy before. Perhaps you’ve even used it yourself to describe that feeling of constant pressure as you try to fit new digital demands onto a creaking foundation of legacy technology. The idea of IT strategy as a game of Tetris […]
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