Search results for 'AI'
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UKRI AI Research and Innovation Strategic Framework (document)
This framework outlines UKRI’s future investments in artificial intelligence across six priority action areas.
BRAID Scoping to Embed Responsible AI in Context
Apply for funding to undertake a preliminary study exploring what ‘responsible’ research and practice means within a defined AI context.
AHRC: BRAID Responsible AI Demonstrators
This funding opportunity is part of AHRC’s Bridging Responsible AI Divides (BRAID) programme.
Japan-UK joint call for collaborations in advancing human-centred AI
Apply for funding to form world-leading partnerships with collaborators in Japan for your research into artificial intelligence and data science.
Fundamental AI Research Lab
Apply to lead the formation of a strategic research lab dedicated to advancing the UK’s position in fundamental artificial intelligence (AI) development. Up to £40 million delivered in stages is available over six years to support research and training.
Responsible AI UK keystone projects
Apply for funding for consortia-led research into responsible artificial intelligence (AI) to ensure that AI technologies are designed, deployed and used responsibly within societies.
Artificial intelligence (AI) for environmental science phase one
Secure funding to deliver new world-leading data science and AI approaches to tackle critical environmental challenges. Interdisciplinary collaboration within and beyond environmental science is encouraged to maximise impact.
AHRC BRAID DOT: responsible AI collaborations with US researchers
Apply for funding to work with US-based researchers to undertake humanities research on the ethical, legal, and societal implications of AI.
Responsible AI UK: skills programme
Apply for funding to develop open educational resources for the training of artificial intelligence (AI) developers, users, managers, the public and other stakeholders.
UKRI Metascience AI early career fellowships
The UK Metascience Unit will fund a cohort of early career fellows to build our understanding of how the growing adoption of AI is changing the research landscape, including what epistemic, metascientific, ethical and socioeconomic questions this raises, and how governments, industry, and funding organisations should respond.