Science, Innovation and Technology
Satellite
Diane Coyle (Project Lead), Adrian Weller, Ramit Debnath, Wagar Ashaf, Sara Abdelaziz, John Lourenze Poquiz, Lucy Hampton, Bart van Art, Joel Hoskins, Shobna Gowda, Rebecca Riley, Arjun Shah, Vassilis Karountzos, Nina Jörden
“This is an opportunity for the UK to drive forward research globally at the intersection of technical and social science disciplines, particularly where there has been relatively little interdisciplinary research to date. We are keen to enhance connections between the research communities and businesses and policymakers.”
Through a combination of broad landscape mapping and focused examples, this project sought to gain insights into how the uptake of responsible AI can be in incentivised through structures, business models and regulatory frameworks, and to better understand how responsible AI can drive productivity and ensure the technologies are deployed responsibly across society and enhance the UK’s prosperity. The core research questions were: how can Responsible AI drive productivity and economic prosperity, and conversely how can productivity and economic considerations be taken into account in developing Responsible AI? The team asked: where do the benefits and costs of AI technologies accrue, especially productivity gains? What incentive structures, business models and regulatory frameworks will shape the character of the technologies, with their associated costs and benefits, so they are deployed responsibly across society and enhance the UK’s prosperity?
This event was held in the Kanaris Theatre, Manchester Museum, and brought members of the project team together to present their research to an invited audience of academics and policy makers. Talks included, ‘Systematic insights into the economics of AI research’ (John Lourenze Poquiz & Lucy Hampton), ‘The Impact of AI Adoption on Productivity Across Sectors: A Meta-Synthesis Approach’ (Vassilis Karountzos), ‘A scan of the UK AI business landscape’ (Ramit Debnath and Wagar Ashaf), ‘Determinants of firms’ decision to adopt AI’ (Diane Coyle, Nina Jörden, John Lourenze Poquiz), and ‘AI-driven productivity growth in social care’ (Bart van Ark and Joel Hoskins).
Opinion – AI can unlock productivity in public services
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