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£37m funding boost for AI projects ahead of UK AI Safety Summit
Research teams encouraged to bid for a share of £32m for AI projects and a further £5m committed to feasibility studies into pioneering ideas.
AI review: Transforming our world with AI
Our AI review ’Transforming our world with AI’ sets out UKRI’s view of the opportunities for research and innovation in AI – artificial intelligence – in the UK. In it we set out our aspirations for supporting transformational activities, and for working with our partners to place the UK in a strong position to realise […]
£100m boost in AI research will propel transformative innovations
Nine new research hubs located across the UK will deliver revolutionary AI technologies while a further 10 scoping studies will help to define responsible AI.
How the arts and humanities are crucial to responsible AI
Artificial intelligence (AI) technologies are advancing fast. How can the arts and humanities, and a new UKRI programme, help create a responsible AI ecosystem?
£19 million to accelerate trustworthy and responsible AI
Twenty one projects to accelerate the adoption of trustworthy and responsible artificial intelligence (AI) and machine learning technologies.
£12 million for UK projects to address rapid AI advances
A series of breakthrough projects has been awarded £12 million to address the challenges of rapid advances in artificial intelligence (AI).
£13 million for 22 AI for health research projects
Projects aim to transform health using artificial intelligence (AI) to assist and refine diagnostics and procedures.
Over £7 million awarded to help AI boost growth in the UK
Over 100 projects to receive funding to trial productivity-boosting artificial intelligence (AI) tools for businesses.
Women in AI: innovators, leaders, game changers
Driving an inclusive artificial intelligence landscape where diverse perspectives fuel groundbreaking advancements and ensure technology serves everyone.
Bridging responsible AI divides (BRAID)
BRAID is dedicated to integrating arts, humanities and social science research into a ‘responsible AI’ (artificial intelligence) approach, minimising the risk of negative consequences. It aims to bridge the divides between academic, industry, policy and regulatory work on responsible AI.