Abstract
The past decade has seen efforts to digitalise, standardise and automate research processes, with particular emphasis on core organisational activities such as management of research data, administration, and planning. Artificial Intelligence (AI) could offer some useful insights with regards to widely encountered pressures in research, such as increasing administrative demand, growing data requirements, and tighter regulations on research activities. Technological advances, including AI, are becoming widely used in commercial and business sectors but remain to be harnessed in research, with funders and institutions only now beginning to explore the utility of AI, and investing in AI to determine how they can ethically benefit from these technological advances. With a recent increase in the use of generative AI tools, such as ChatGPT, in academic writing and grant applications, organisations in the UK are beginning to respond and calling for evidence on the benefits and drawbacks of using AI for research-focused activities. There is a need for better understanding of what AI is, what it isn't, its implications for funders, and where it may have potential benefit for funders' administrative and research management (RMA) processes.
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