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UK Athletics faces fine after Paralympian’s fatal accident

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UK Athletics faces significant penalties following the tragic death of Paralympian Abdullah Hayayei, who was killed by a collapsing throwing...

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UK and India forge AI collaboration at Delhi summit

Ellie Cartwright by Ellie Cartwright
February 19, 2026
in UK Health and Safety Latest
Reading Time: 5 mins read
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UK and India forge AI collaboration at Delhi summit

Story Highlight

– UK leaders discuss AI’s impact at Delhi summit.
– India-UK relations emphasized with new trade deal.
– Simplified visa rules aim to attract AI talent.
– AI collaboration to enhance healthcare and drug discovery.
– UK focuses on sovereign AI capabilities amid global landscape.

Full Story

In a notable event held in New Delhi, two prominent figures from opposing ends of the UK’s political spectrum, David Lammy, Deputy Prime Minister, and former Prime Minister Rishi Sunak, shared a platform to discuss a subject they regard as transcending political divides: artificial intelligence (AI) and its potential impact on the future.

The significance of this gathering lies not only in its high-profile participants but also in the political context surrounding AI policy in the UK. Lammy, who is currently at the forefront of AI policy in his role, has built upon the groundwork laid by Sunak’s administration, which included initiatives such as the inaugural global AI summit and the recently published 2023 AI White Paper.

During the summit, Lammy expressed his enthusiasm for what he referred to as “the most extraordinary year of a relationship” between India and the UK, a partnership underscored by a new trade agreement and the establishment of campuses for nine British universities in India. Emphasising the importance of tapping into global talent for AI development, he remarked on comments made last month by the Chancellor of the Exchequer, highlighting India’s primacy in this regard. “Last month, the Chancellor of The Exchequer said she wants to attract top talent in the world for AI, and India is at the top of that list,” Lammy noted.

In pursuit of this ambitious goal, simplified visa regulations were hinted at by Lammy as a key aspect. The UK has initiated measures to make it easier for skilled professionals in AI to enter the country, reflecting its commitment to fostering a more robust tech workforce.

The discussions at the Delhi AI Impact Summit centred on two pivotal themes aimed at ensuring AI serves diverse populations effectively. The first theme involves collecting real-world usage data on AI while prioritising privacy and anonymisation, which will inform policy decisions related to employment, skill development, and workforce enhancement. The second theme addresses the necessity for multilingual and culturally relevant assessments of AI systems, particularly in nations within the Global South.

Lammy explicitly acknowledged India’s role in shaping such an initiative. “Very grateful to India for centering the Global South. Obviously, India has an outsized contribution to make, recognise them. The face of the average worker in the global South in a very rural community, and the huge opportunities, there are in agriculture,” he articulated, emphasising AI’s transformative potential in these sectors.

Reinforcing this perspective, Lindy Cameron CB OBE, the British High Commissioner, emphasised the importance of collaborative frameworks like the India-UK Joint Centre for AI and the India-UK Connectivity and Innovation Centre. These initiatives aim to cultivate inclusive AI ecosystems that can address both local and global challenges. She spoke of the UK’s new collaborative project that aims to leverage AI for quicker diagnoses in healthcare, tailored educational experiences for students, expedited public service delivery, and the creation of innovative job opportunities.

The summit marks the fourth in a series of global AI gatherings, having commenced at Bletchley Park in 2023, which primarily focused on AI’s potential hazards. Subsequent summits have expanded discussions to include safety, innovation, and inclusive practices in AI deployment. The next global summit is scheduled to take place in Geneva, Switzerland, next year.

Amidst the geopolitical discussions, the summit also touched upon the intersection of AI with the life sciences sector. Sunak highlighted the UK’s historical prowess in life sciences—grounded in significant milestones like the discovery of the DNA double helix by Watson and Crick—and its current convergence with AI technology. He remarked, “With our strength in artificial intelligence, because these two things have come together, and we’re now doing drug discovery in a completely different way,” stressing the transformative capabilities of AI in medical research, especially given the current high failure rates of drug discovery efforts.

Sir Demis Hassabis, CEO of Google DeepMind and co-founder of Isomorphic Labs, also lent his voice to this critical dialogue. His firm recently announced the advent of a proprietary drug design engine that surpasses previous models, capable of targeting complex biological challenges with remarkable accuracy. This highlights a critical shift from theoretical possibilities to tangible advancements in drug development, particularly through the synergy of AI and life sciences.

As part of broader discussions, Lammy also addressed the geopolitical landscape surrounding AI, acknowledging the prevailing dominance of the US and China in technology, infrastructure, and model development. He argued that both the UK and India must navigate these challenges with their own strategy focused on cultivating sovereign capabilities. The UK has initiated a Sovereign AI Unit, backed by a substantial funding commitment, aimed at enhancing local data infrastructure and workforce readiness while collaborating with leading technology firms.

Sunak offered historical insights into the implications of technological revolution, drawing parallels from past inventions and how nations utilise innovations to their advantage. “There’s a very strong historical lesson that we can all learn, and that’s because every time there’s been one of these big technological revolutions, it isn’t necessarily the country that invents the technology, is also the country that benefits the most from it,” he cautioned.

The UK’s approach to AI regulation reflects this understanding, advocating a model where various regulatory bodies oversee distinct sectors instead of relying on a monolithic structure. This regulatory framework, outlined in the 2023 White Paper, encapsulates principles such as safety, transparency, accountability, and contestability.

As both the UK and India continue to elevate their roles in the global AI arena, the emerging regulatory agendas and strategic partnerships signal their intent not just to compete but to shape the future of AI on their terms. With an eye on responsible and inclusive AI development, the conversations at the summit signify a commitment to harnessing technology for the benefit of all.

Our Thoughts

The article highlights discussions around AI governance and collaboration between the UK and India, particularly in the context of public health and drug discovery. While no specific health and safety incident is described, several key lessons and regulatory considerations emerge.

To prevent potential risks associated with AI in healthcare, it is vital to ensure compliance with the Health and Safety at Work Act 1974. This includes conducting thorough risk assessments and ensuring that AI systems are tested for safety before deployment in health-related applications. The principles of safety, security, and robustness outlined in the UK’s 2023 AI White Paper must be effectively implemented to safeguard against errors or failures in AI, which could jeopardize patient safety.

Moreover, relevant regulations concerning data privacy and protection, like the Data Protection Act 2018, should be strictly adhered to, especially when handling sensitive health data in AI training processes. Future collaborations should emphasize continuous monitoring of AI applications to ensure they meet safety standards and regulatory compliance.

In conclusion, a proactive approach involving rigorous risk assessments and adherence to established regulations could mitigate the potential adverse effects of AI deployments in health contexts, thus improving safety outcomes.

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Ellie Cartwright

Ellie Cartwright

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