a new report on journalism in seven countries shows ai might have a place in the newsroom – but everyone should proceed with caution.
still being a relative ‘new kid’ at the fca, i can approach everything with a fresh pair of eyes. or, in the case of our ai sprint event, with a futuristic set of eyes. i walked into the room wearing my ray-ban meta glasses, capturing our guests’ emotions and feedback in real-time. ai helped me process responses on the fly – a technology still only just emerging, a set of tools bringing ideas to life in very different ways. it was the perfect introduction to think about the fca’s role in ai, and how the regulatory framework we already have in place can support the flourishing of ai in financial services. three things that surprised mehere’s what really stood out to me from my first sprint event.first, trust isn’t just a buzzword. it’s the whole deal when it comes to embracing ai. and trust isn’t just about protection, it’s also about growth. i’m not saying to completely trust what the computer says – this is still very new technology. but this is about demonstrating that we as a sector can embrace ai safely and responsibly to address those challenges and deliver on massive potential. with that trust, firms can get senior buy-in to experiment, and consumers will engage with ai-driven services. trust in ai is like trying to build a house from the roof down – you need solid foundations first. neither the fca nor firms can establish this trust alone, but together we can create the environment needed for ai to flourish. second, firms aren’t looking for more regulation – they want clarity on existing rules. they’re eager to innovate but need to understand how current frameworks apply to ai. we are of one mind on this. as our chief executive nikhil rathi explained in his letter to the prime minister, we want to use our existing outcomes-based frameworks as much as possible. we’re not looking to create new regulations for ai within financial services. we want to make the ones we already have work for this burgeoning sector. finally, the future challenges aren’t what i expected. yes, everyone’s thinking about ai bias, but the conversations about ‘unknown unknowns’ were fascinating. what happens when ai makes impersonation scams more sophisticated? how do we ensure ai data centres are sustainable? these are the questions keeping practitioners up at night. why this matters the uk has unique advantages in ai innovation – a robust regulatory framework, world-class talent, and sophisticated financial markets. we’re perfectly positioned, but innovation must be balanced with consumer protection. sprint participants discussed current ai use cases that could help customers better manage personal loans while still being able to save. i saw a glimpse of our future – a future where ai innovation drives both growth and better consumer outcomes. where do we go from here? i can already see that this ai sprint is just the beginning. we’re working through all the feedback we received from the sprint as well as other parts of the ai lab, such as our ai spotlight event. you can read about how we're using that feedback and how we want to continue working together in our ai sprint summary. we’ll be considering how we best enhance trust, clarify our rules and prepare for the ‘unknown unknowns’. we’re taking concrete steps straight away to support safe, growth-focused innovation: expanding our ai lab and supercharged sandbox to accelerate innovation.working with the synthetic data expert group to enable safe testing of new ideas.holding a roundtable with the ico on 9 may 2025 to discuss with industry leaders about the challenges and opportunities they face in respect of ai adoption and wider innovation.your turn to join the conversation want to help shape how ai transforms financial services? we’re always looking for fresh pairs of eyes to help us see things in new and exciting ways. we’re constantly evolving our approach through our ai lab initiatives and upcoming events. visit the ai lab to learn more about our research and innovation support programmes. let’s see what we can do together.
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this study analyses the discursive representation of artificial intelligence (ai) and chatgpt in uk news media headlines from january to may 2023. a total of 671 headlines were collected and analysed using inductive thematic analysis, theoretically informed by agenda-setting theory and framing theory. the results offer an initial picture of how recent technological advances in the fields of ai have been communicated to the public. the results show that there is a complex and at times paradoxical portrayal of ai in general and chatgpt as well as other large language models (llms), oscillating between promising potential for solving societal challenges while simultaneously warning of imminent and systemic dangers. further to this, the analysis provides evidence for the claim that media representations of ai are often sensationalised and tend to focus more on warnings and caution to readers, as only a minority of headlines were related to helpful, useful, or otherwise positive applications of ai, chatgpt, and other large language models (llms). these findings underscore the pivotal role of media discourse in shaping public perceptions of ai. the study prompts reflections on news media practices in the united kingdom and encourages future research to further examine the influence of social, cultural, and political contexts on ai representation during a period of technological change. this research provides relevant insights for policymakers, ai developers, and educators to support public engagement with ai technologies.
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